Author: Amanda Everitt
Began: 07/24/2023
Finished: 09/29/2024

Study Design

Main question of interest:
- Is there a molecular signature of pair bonding in the nucleus accumbens?
- How does loss of OXTR in the nucleus accumbens effect gene expression?
- Do these differ by sex?

colorize <- function(x, color) {
  if (knitr::is_latex_output()) {
    sprintf("\\textcolor{%s}{%s}", color, x)
  } else if (knitr::is_html_output()) {
    sprintf("<span style='color: %s;'>%s</span>", color,
      x)
  } else x
}
Alignment + Pre-processing Methods
Adapter and low quality sequence trimming was performed with Trimmomatic v0.39 using parameters: ‘TruSeq3-PE.fa:2:30:10:2:keepBothReads LEADING:3 TRAILING:3 SLIDINGWINDOW:4:20 MINLEN:25’(Bolger et al., 2014). Trimmed RNA-Seq reads were aligned to a custom MicOch1.0 prairie vole genome, which incorporated a known missing gene V1A, using STAR v2.7.3a in gene annotation mode (Dobin et al., 2013). Alignment, RNA-Seq, and Insert Size quality control metrics were generated using Picard v 2.10.10 (http://broadinstitute.github.io/picard). Homologous genes between vole, mouse, and human references were identified using biomart v2.56.1. When multiple mouse or human genes mapped to the same vole gene, the homologous gene with the highest percent identity to vole was selected.
Load Packages + Set env
suppressPackageStartupMessages({
  library(plyr); library(dplyr);
  library(DESeq2)
  library(ggplot2)
  library(tibble)
  library(gridExtra)
  library(purrr)
  library(ggbiplot)
  library(ggVennDiagram)
  library(ComplexHeatmap)
  library(kableExtra)
  library(RUVSeq)
  library(readxl)
  library(fgsea)
  #library(Seurat)
  library(ggpubr)
  library(STRINGdb)
  library(clusterProfiler)
  library(ggvenn)
  library(igraph)
  library(circlize)
  library(ggh4x)
})

data_dir ="input_data/"
output_dir = "results/"
dir.create(output_dir, recursive = TRUE, showWarnings = FALSE)
dir.create(paste0(output_dir,"figures"), recursive = TRUE, showWarnings = FALSE)

par(mar=c(1,1,1,1), cex.axis=0.5, mfrow=c(1,1))
set.seed(1)
`%ni%` <- purrr::compose(`!`, `%in%`)
#Load in metadata + make some helpful columns
metadata <- read.csv(paste0(data_dir,"KB_OXTR_metadata.csv"), header = T, stringsAsFactors = F)
metadata[metadata$species == "Prairie",]$species <- "WT"
metadata$FullID <- gsub("-bond","", paste0(metadata$SampleID, "_",metadata$species, "_",
                                           metadata$Condition, "_", metadata$Sex))
rownames(metadata) <- metadata$FullID
metadata$SeqRun <- as.character(metadata$SeqRun)
metadata$Group <- paste0(ifelse(metadata$species == "WT", "wildtype","oxtr"), "_", 
                         ifelse(metadata$Sex == "F", "female","male"), "_", 
                         ifelse(metadata$Condition == "Post-bond", "post-bonding","pre-bonding"))
metadata$TechnicalRep <- as.character(metadata$TechnicalRep)
metadata$Condition <- as.factor(metadata$Condition)
#Load counts
cts <- read.delim(paste0(data_dir,"trim_star2.7.3a_merged_counts.txt"), sep = "\t", row.names = 1)
cts <- cts[,order(match(colnames(cts), metadata$SampleID)),]
colnames(cts) <- metadata$FullID
original_cts <- cts
#Load QC metrics
qc1 <- t(read.delim(paste0(data_dir,"trim_star2.7.3a_merged_counts.stats"), sep = "\t", row.names = 1))
qc2 <- read.delim(paste0(data_dir,"merged_qc.txt"), sep = "\t", row.names = 1)
qc3 <- merge(qc1, qc2, by="row.names", all=T)
qc_df <- merge(metadata[,c("SampleID", "FullID"), drop=F], qc3, by.x="SampleID", by.y="Row.names")
rownames(qc_df) <- qc_df$FullID
qc_df <- qc_df[, colnames(qc_df) %ni% c("SampleID", "FullID")]

qc_df <- qc_df[, as.numeric(which(apply(qc_df, 2, var) > 0 ))] #remove cols with no variance
qc_df <- as.data.frame(t(qc_df))
if(identical(colnames(qc_df), colnames(cts))){
  qc_df["N_reads_mapped", ] <- colSums(cts)
}
metadata[1:3,]
##               SampleID Experiment species Condition Sex Area lane RIN Result
## KB01_WT_Pre_F     KB01      OXTR       WT  Pre-bond   F  NAc    1 7.6   Pass
## KB02_WT_Pre_F     KB02      OXTR       WT  Pre-bond   F  NAc    1 8.1   Pass
## KB03_WT_Pre_F     KB03      OXTR       WT  Pre-bond   F  NAc    1 8.9   Pass
##               LibraryPrep Lane Yield Additional_througput TechnicalRep SeqRun
## KB01_WT_Pre_F    Macrogen    0  6678                    0         <NA>      1
## KB02_WT_Pre_F    Macrogen    0  7353                    0           26      1
## KB03_WT_Pre_F    Macrogen    1  7701                    1         <NA>      1
##                      FullID                       Group
## KB01_WT_Pre_F KB01_WT_Pre_F wildtype_female_pre-bonding
## KB02_WT_Pre_F KB02_WT_Pre_F wildtype_female_pre-bonding
## KB03_WT_Pre_F KB03_WT_Pre_F wildtype_female_pre-bonding
cts[1:3,1:4]
##                    KB01_WT_Pre_F KB02_WT_Pre_F KB03_WT_Pre_F KB04_WT_Pre_M
## ENSMOCG00000013030             0             0             0             0
## ENSMOCG00000004754             0             0             0             0
## ENSMOCG00000009923             0             0             0             0
qc_df[1:3,1:4]
##                KB01_WT_Pre_F KB02_WT_Pre_F KB03_WT_Pre_F KB04_WT_Pre_M
## N_unmapped            469395        436706        635466        600854
## N_multimapping        197616        216878        222792        305858
## N_noFeature          3395153       3310686       3638380       5441607
Building vole annotation
library("biomaRt")
voleGenes <- rownames(original_cts)
vole = useMart("ensembl", dataset = "mochrogaster_gene_ensembl")
#searchAttributes(mart = vole, pattern = "mochrogaster")

#need ensemblIDs for GO, need entrez IDs for GSEA
vole_homolgsPage = getBM(attributes = c("ensembl_gene_id",
                                   "mmusculus_homolog_ensembl_gene",
                                   "mmusculus_homolog_associated_gene_name",
                                   "mmusculus_homolog_orthology_type",
                                   "mmusculus_homolog_perc_id",
                                   "hsapiens_homolog_ensembl_gene",
                                   "hsapiens_homolog_associated_gene_name",
                                   "hsapiens_homolog_orthology_type",
                                   "hsapiens_homolog_perc_id"), 
                   filters = "ensembl_gene_id", 
                   values = voleGenes, mart=vole)

table(duplicated(vole_homolgsPage$ensembl_gene_id))
#FALSE  TRUE 
#23038 10229
  • Downstream we need each vole gene to have one ortholog which is a problem with the 1:many and many:many orthologs. I’m going to order information by the percent identity, but retain the rest of the info in other columns in case people would like to redo this later with different criteria.
dups <- vole_homolgsPage$ensembl_gene_id[duplicated(vole_homolgsPage$ensembl_gene_id)]
length(unique(dups))
#[1] 1245
 
#lets handle the mouse duplicated instances first. 
pt1 <- vole_homolgsPage[vole_homolgsPage$ensembl_gene_id %in% dups, ] %>% 
  group_by(ensembl_gene_id) %>% #group by the vole unique ID
  arrange(desc(mmusculus_homolog_perc_id)) %>% # for each group, arrange by the one we're "most confident" in 
  reframe(mmusculus_homolog_ensembl_genes = paste(mmusculus_homolog_ensembl_gene, collapse=", "),
          mmusculus_homolog_associated_gene_names = paste(mmusculus_homolog_associated_gene_name, collapse=", "),
          mmusculus_homolog_perc_ids = paste(mmusculus_homolog_perc_id, collapse=", "),
          mmusculus_homolog_ensembl_gene = mmusculus_homolog_ensembl_gene[[1]],
          mmusculus_homolog_associated_gene_name = mmusculus_homolog_associated_gene_name[[1]],
          mmusculus_homolog_orthology_type = mmusculus_homolog_orthology_type[[1]],
          mmusculus_homolog_perc_id = mmusculus_homolog_perc_id[[1]]) %>% #collapse info we want to keep. 
  unique()

length(pt1$ensembl_gene_id)
#[1] 1245


#lets handle the mouse duplicated instances first. 
pt2 <- vole_homolgsPage[vole_homolgsPage$ensembl_gene_id %in% dups, ] %>% 
  group_by(ensembl_gene_id) %>% #group by the vole unique ID
  arrange(desc(hsapiens_homolog_perc_id)) %>% # for each group, arrange by the one we're "most confident" in 
  reframe(hsapiens_homolog_ensembl_genes = paste(hsapiens_homolog_ensembl_gene, collapse=", "),
          hsapiens_homolog_associated_gene_names = paste(hsapiens_homolog_associated_gene_name, collapse=", "),
          hsapiens_homolog_perc_ids = paste(hsapiens_homolog_perc_id, collapse=", "),
          hsapiens_homolog_ensembl_gene = hsapiens_homolog_ensembl_gene[[1]],
          hsapiens_homolog_associated_gene_name = hsapiens_homolog_associated_gene_name[[1]],
          hsapiens_homolog_orthology_type = hsapiens_homolog_orthology_type[[1]],
          hsapiens_homolog_perc_id = hsapiens_homolog_perc_id[[1]]) %>% #collapse info we want to keep. 
  unique()

length(pt2$ensembl_gene_id)
#[1] 1245
fixed = full_join(pt1,pt2)
vole_homolgsPage_fixed <- full_join(vole_homolgsPage[vole_homolgsPage$ensembl_gene_id %ni% dups, ], fixed)
#now we have to add the entrezIDs for mouse and humans for the retained ensembl IDs. 
vole_featurePage = getBM(attributes = c("ensembl_gene_id",  
                                        "gene_biotype", "entrezgene_id", "external_gene_name"), 
                   filters = "ensembl_gene_id", 
                   values = voleGenes, 
                   mart=vole)

mouse = useMart("ensembl", dataset = "mmusculus_gene_ensembl")
mouse_featurePage = getBM(attributes = c("ensembl_gene_id",  "entrezgene_id"), 
                   filters = "ensembl_gene_id", 
                   values = unique(vole_homolgsPage_fixed$mmusculus_homolog_ensembl_gene), 
                   mart=mouse)

human = useMart("ensembl", dataset = "hsapiens_gene_ensembl")
human_featurePage = getBM(attributes = c("ensembl_gene_id",  "entrezgene_id"), 
                   filters = "ensembl_gene_id", 
                   values = unique(vole_homolgsPage_fixed$hsapiens_homolog_ensembl_gene), 
                   mart=human)
vole_featurePage_uniq <- vole_featurePage %>% 
  group_by(ensembl_gene_id) %>% 
  reframe(entrezgene_ids = paste(entrezgene_id, collapse=", "),
          external_gene_names = paste(external_gene_name, collapse=", "),
          gene_biotype = gene_biotype[[1]],
          entrezgene_id = entrezgene_id[[1]], 
          external_gene_name = external_gene_name[[1]]) %>%
  unique()

mouse_featurePage_uniq <- mouse_featurePage %>% 
  group_by(ensembl_gene_id) %>% 
  reframe(mmusculus_entrezgene_ids = paste(entrezgene_id, collapse=", "),
          mmusculus_entrezgene_id = entrezgene_id[[1]],
          mmusculus_homolog_ensembl_gene = ensembl_gene_id) %>%
  unique()

human_featurePage_uniq <- human_featurePage %>% 
  group_by(ensembl_gene_id) %>% 
  reframe(hsapiens_entrezgene_ids = paste(entrezgene_id, collapse=", "),
          hsapiens_entrezgene_id = entrezgene_id[[1]],
          hsapiens_homolog_ensembl_gene = ensembl_gene_id) %>%
  unique()
m0 <- full_join(vole_featurePage_uniq, vole_homolgsPage_fixed)
m1 <- full_join(m0, mouse_featurePage_uniq[,2:4])
m2 <- full_join(m1, human_featurePage_uniq[,2:4])

table(duplicated(m2$ensembl_gene_id))
#FALSE 
#23038 

write.csv(m2, file=paste0(data_dir, "vole_annotation.csv"))
vole_annotation <- read.csv(paste0(data_dir, "vole_annotation.csv"), row.names = 1) 

QC, Filtering, and Data Viz

Based on clustering with a separate dataset not discussed here, we discovered one of the samples is actually from a different brain region. Removing KB11 before our normalization.

cts <- cts[,colnames(cts) %ni% c("KB11_WT_Post_M")]
metadata <- metadata[rownames(metadata) %ni% c("KB11_WT_Post_M"),]
qc_df <- qc_df[,colnames(qc_df) %ni% c("KB11_WT_Post_M")]
#Is there anything concerning in how the reads were mapped to the genome?
#no. 
par(cex=1, mar = c(10,5,3,1), xpd=TRUE)
a<- as.matrix(qc_df[rownames(qc_df) %in% c("N_reads_mapped", "N_unmapped","N_multimapping","N_noFeature","N_ambiguous"),])
barplot(a, main="Breakdown of Read distribution by sample",
  col=c("orange","pink", "red","green","darkblue"),
    legend = rownames(a),
  las=2, 
  args.legend = list(x="bottomright", cex=0.5) )

pca <- prcomp(t(qc_df), center = T, scale. = T)
percentVar <- pca$sdev^2/sum(pca$sdev^2)
metadata %>%
    mutate(PC1 = pca$x[, 1], PC2 = pca$x[, 2]) %>% 
    ggplot(aes(x = PC1, y = PC2, color=SeqRun, shape=species, label=SampleID)) +
    geom_point(size = 3) + 
    coord_fixed() + theme_bw() +
    xlab(paste0("PC1: ", round(percentVar[1] * 100), "% variance")) + 
    ylab(paste0("PC2: ", round(percentVar[2] * 100), "% variance")) + 
    ggtitle("PCA of QC metrics") +
    geom_text(size=4, nudge_x = 0.5)

ggbiplot(pca) + theme_bw() + ggtitle("Biplot showing qc metrics + loadings")

Filter zero + lowly expressed genes out.

amanda.plot.density <- function(df, title, my.ylim, my.xlim){
  library(RColorBrewer)
  colramp= colorRampPalette(brewer.pal(4, "BuPu"))(ncol(df))
  plot(density(df[,1]),col="white",lwd=3,ylim=my.ylim, xlim=my.xlim, main=title)
  for(i in 1:ncol(df)){lines(density(df[,i]),lwd=1,col=colramp[i])}
}
par(cex=1, mar = c(3,3,3,3), xpd=FALSE, mfrow=c(3,1))
cpm <- apply(cts,2, function(x) (x/sum(x))*1000000)
amanda.plot.density(log2(cpm + 1), 
                    title=paste0("Original counts (n=",dim(cpm)[1],")"), 
                    my.ylim =c(0,0.5),  my.xlim= c(-1,15))
cpm <- cpm[rowSums(cpm) > 0,]
amanda.plot.density(log2(cpm + 1), 
                    title=paste0("Zero removed counts (n=",dim(cpm)[1],")"), 
                    my.ylim =c(0,0.5),  my.xlim= c(-1,15))
cpm <- cpm[rowSums(cpm > 2) >= 3,]
amanda.plot.density(log2(cpm + 1), 
                    title=paste0("LowExpr filtered counts (n=",dim(cpm)[1],")\n[required > 2 cpm in >= 3 samples]"),
                    my.ylim =c(0,0.5),  my.xlim= c(-1,15))

norm_counts <- log2(cpm + 1)
cts <- cts[rownames(cts) %in% rownames(norm_counts), ] #remove those filtered out. 
pca <- prcomp(t(norm_counts), center = T)
percentVar <- pca$sdev^2/sum(pca$sdev^2)
pc1lab = paste0("PC1: ", round(percentVar[1] * 100), "% variance"); 
pc2lab = paste0("PC2: ", round(percentVar[2] * 100), "% variance")
cts_pca = metadata %>% mutate(PC1 = pca$x[, 1], PC2 = pca$x[, 2])
ggplot(cts_pca, aes(x = PC1, y = PC2, color=SeqRun, shape=species, label=SampleID)) +
    geom_point(size = 3) + coord_fixed() + xlab(pc1lab) + ylab(pc2lab) + theme_bw() +
    ggtitle("Initial PCA") + 
    geom_text(size=4, nudge_x = 0.5)

ggplot(cts_pca, aes(x = PC1, y = PC2, color=species, shape=SeqRun, label=SampleID)) +
    geom_point(size = 3) + coord_fixed() + xlab(pc1lab) + ylab(pc2lab) + theme_bw() +
    ggtitle("Initial PCA: KO effect clear")

How did our technical replicates fair?

cts_pca$Pairs <- "NA"
cts_pca[cts_pca$SampleID %in% c("KB02","KB26"), "Pairs"] <- 1
cts_pca[cts_pca$SampleID %in% c("KB06","KB27"), "Pairs"] <- 2
cts_pca[cts_pca$SampleID %in% c("KB17","KB29"), "Pairs"] <- 3
cts_pca[cts_pca$SampleID %in% c("KB20","KB28"), "Pairs"] <- 4
cts_pca[cts_pca$Pairs != "NA", c("SampleID", "Pairs")] %>% arrange(Pairs)
##                  SampleID Pairs
## KB02_WT_Pre_F        KB02     1
## KB26_WT_Pre_F        KB26     1
## KB06_WT_Pre_M        KB06     2
## KB27_WT_Pre_M        KB27     2
## KB17_Mut6_Pre_M      KB17     3
## KB29_Mut6_Pre_M      KB29     3
## KB20_Mut6_Post_F     KB20     4
## KB28_Mut6_Post_F     KB28     4
ggplot(cts_pca, aes(x = PC1, y = PC2, color=Pairs, shape=SeqRun)) +
    geom_point(size = 3) + coord_fixed() + xlab(pc1lab) + ylab(pc2lab) + theme_bw() +
    ggtitle("Technical Replicates cluster with mate") +
    scale_color_manual(values=c("#F8766D", "#D89000", "#00B0F6", "#9590FF", "black")) +
    ggrepel::geom_text_repel(data=cts_pca[!is.na(cts_pca$TechnicalRep),], aes(label=SampleID), nudge_x= 2, show.legend = F, size=3)

#How is the data structured if we look at the groups of samples?
ggplot(cts_pca, aes(x = PC1, y = PC2, color=Group, shape=SeqRun, label=SampleID)) +
    geom_point(size = 3) + coord_fixed() + xlab(pc1lab) + ylab(pc2lab) + theme_bw() +
    ggtitle("PCA colored by sample group") +
    ggrepel::geom_text_repel(nudge_x= 1, show.legend = F, size=3)

#very ugly code, sorry everyone.
norm_counts_aveTechRep <- as.data.frame(norm_counts)
norm_counts_aveTechRep[,"KB0226_WT_Pre_F"] <- unlist(rowMeans(norm_counts_aveTechRep[,c("KB02_WT_Pre_F", "KB26_WT_Pre_F")]))
norm_counts_aveTechRep[,"KB0627_WT_Pre_M"] <- unlist(rowMeans(norm_counts_aveTechRep[,c("KB06_WT_Pre_M", "KB27_WT_Pre_M")]))
norm_counts_aveTechRep[,"KB1729_Mut6_Pre_M"] <- unlist(rowMeans(norm_counts_aveTechRep[,c("KB17_Mut6_Pre_M", "KB29_Mut6_Pre_M")]))
norm_counts_aveTechRep[,"KB2028_Mut6_Post_F"] <- unlist(rowMeans(norm_counts_aveTechRep[,c("KB20_Mut6_Post_F", "KB28_Mut6_Post_F")]))

norm_counts_aveTechRep <- norm_counts_aveTechRep[, !colnames(norm_counts_aveTechRep) %in% c("KB02_WT_Pre_F", "KB26_WT_Pre_F","KB06_WT_Pre_M", "KB27_WT_Pre_M", "KB17_Mut6_Pre_M", "KB29_Mut6_Pre_M", "KB20_Mut6_Post_F", "KB28_Mut6_Post_F")]
dim(norm_counts_aveTechRep)
## [1] 13324    31
pca <- prcomp(t(norm_counts_aveTechRep), center = T)
percentVar <- pca$sdev^2/sum(pca$sdev^2)
pc1lab = paste0("PC1: ", round(percentVar[1] * 100), "% variance"); 
pc2lab = paste0("PC2: ", round(percentVar[2] * 100), "% variance")

tmp <- data.frame(PC1 = pca$x[, 1], PC2 = pca$x[, 2])
tmp$name = rownames(tmp)
tmp$group = as.factor(
  sapply(strsplit(tmp$name, "_", fixed=T), function(x) paste0(x[[2]],x[[4]]))
)
tmp$group <- factor(tmp$group, levels = c("WTF", "WTM","Mut6F","Mut6M"))
tmp$Condition = as.factor(
  sapply(strsplit(tmp$name, "_", fixed=T), function(x) x[[3]])
)
tmp$Condition <- factor(tmp$Condition, levels = c("Pre", "Post"))  

g1 <- ggplot(tmp, aes(x = PC1, y = PC2, color=group, shape=Condition)) +
    geom_point(size = 5) + coord_fixed() + xlab(pc1lab) + ylab(pc2lab) + 
    theme_bw() +
    ggtitle("Principal Component Analysis of RNA-seq") +
    scale_shape_manual(values=c(16, 17), name="", 
                       lab=c("pre-pairing", "post-pairing")) +
    scale_color_manual(values=c("#bf083d", "#2b4599", "#ff96a1", "#b3ccff"), name="", 
                       lab=c("WT female", "WT male", expression(bold(OXTR^"1-/-"~female)), expression(bold(OXTR^"1-/-"~male)))) +
    theme(text=element_text(size=14, face = "bold"), 
          legend.text.align = 0)
## Warning: The `legend.text.align` argument of `theme()` is deprecated as of ggplot2
## 3.5.0.
## ℹ Please use theme(legend.text = element_text(hjust)) instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
ggsave(plot=g1, file=paste0(output_dir, "figures/Supp5A_PCA.svg"), width=10, height=10)
g1

PCAs split by Mutation status
amanda_quickPCA <- function(keep, my_color="Condition", my_shape="species"){
  my_color=sym(my_color); my_shape=sym(my_shape)
  pca <- prcomp(t(norm_counts[, colnames(norm_counts) %in% keep ]), center = T)
  percentVar <- pca$sdev^2/sum(pca$sdev^2)
  g1 <- metadata %>%
    filter(FullID %in% keep) %>%
    mutate(PC1 = pca$x[, 1], PC2 = pca$x[, 2]) %>% 
    ggplot(aes(x = PC1, y = PC2, label=FullID, color=!!my_color, shape=!!my_shape)) +
    geom_point(size = 3)  + theme_bw() +
    xlab(paste0("PC1: ", round(percentVar[1] * 100), "% variance")) + 
    ylab(paste0("PC2: ", round(percentVar[2] * 100), "% variance")) + 
    ggrepel::geom_text_repel(nudge_x= 1, show.legend = F, size=3) 
  return(g1)
}
g1 = amanda_quickPCA(keep = metadata %>% filter(species=="WT") %>% pull("FullID"), my_color="Sex", my_shape = "species") +
  ggtitle("WT samples [F v M]") 
g2 = amanda_quickPCA(keep = metadata %>% filter(species=="WT") %>% pull("FullID"), my_color="Condition", my_shape = "Sex") +
    ggtitle("WT samples [Pre v Post]") + scale_color_manual(values=c("orange","purple"))


g3 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6") %>% pull("FullID"), my_color="Sex", my_shape = "species") +
  ggtitle("Mut samples [F v M]") 
g4 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6") %>% pull("FullID"), my_color="Condition", my_shape = "Sex") +
    ggtitle("Mut samples [Pre v Post]") + scale_color_manual(values=c("orange","purple"))

grid.arrange(g1,g2, g3, g4, ncol=2)

PCAs split into subgroups

Note: plots are tiny but on html you can zoom in.

g1 = amanda_quickPCA(keep = metadata %>% filter(species=="WT", Sex=="F") %>% pull("FullID"), 
                     my_color="Condition", my_shape = "species") +
  ggtitle("WT Female [Pre v Post]") + scale_color_manual(values=c("orange","purple"))

g2 = amanda_quickPCA(keep = metadata %>% filter(species=="WT", Sex=="M") %>% pull("FullID"), 
                     my_color="Condition", my_shape = "species") +
  ggtitle("WT Male [Pre v Post]") + scale_color_manual(values=c("orange","purple"))

g3 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6", Sex=="F") %>% pull("FullID"), 
                     my_color="Condition", my_shape = "species") +
  ggtitle("Mut Female [Pre v Post]") + scale_color_manual(values=c("orange","purple"))

g4 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6", Sex=="M") %>% pull("FullID"), 
                     my_color="Condition", my_shape = "species") +
  ggtitle("Mut Male [Pre v Post]") + scale_color_manual(values=c("orange","purple"))

grid.arrange(g1,g2,g3,g4, ncol=4)

g1 = amanda_quickPCA(keep = metadata %>% filter(species=="WT", Condition=="Pre-bond") %>% pull("FullID"), 
                     my_color="Sex", my_shape = "species") +
  ggtitle("WT Pre-bond [F v M]") 

g2 = amanda_quickPCA(keep = metadata %>% filter(species=="WT", Condition=="Post-bond") %>% pull("FullID"), 
                     my_color="Sex", my_shape = "species") +
  ggtitle("WT Post-bond [F v M]") 

g3 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6", Condition=="Pre-bond") %>% pull("FullID"), 
                     my_color="Sex", my_shape = "species") +
  ggtitle("Mut Pre-bond [F v M]") 

g4 = amanda_quickPCA(keep = metadata %>% filter(species=="Mut6", Condition=="Post-bond") %>% pull("FullID"), 
                     my_color="Sex", my_shape = "species") +
  ggtitle("Mut Post-bond [F v M]") 

grid.arrange(g1,g2,g3,g4, ncol=4)

Let’s save our normalized + filtered counts.

#write.csv(cts, file=paste0(output_dir, "filtered_counts.csv"))
write.csv(norm_counts, file=paste0(output_dir, "norm_counts.csv"))
print("Summary: No noticeable outliers by either QC metrics or gene expression. Technical replicates all cluster with mate. Slight effect of sequencing batch to control for. Based on PCA, there seems to be a moderate effect of the mutation and less for bonding -- this should be reflected in the DEX.")
## [1] "Summary: No noticeable outliers by either QC metrics or gene expression. Technical replicates all cluster with mate. Slight effect of sequencing batch to control for. Based on PCA, there seems to be a moderate effect of the mutation and less for bonding -- this should be reflected in the DEX."

Differential Expression

There are three things we need to take into account:
- Unwanted variation by sequencing batch
- Collapsing technical replicates
- DESeq2 model w/ 3 interaction terms

Control for Sequencing Batch
- Option A is to recode the Sequencing Batch from 1/2/3 as a/b/c and add it into the deseq2 model.
- Option B is to estimate a continuous factor of unwanted variation (sequencing batch + other things we don’t know about). I prefer option B because our model matrix might get complicated in deseq2 and it will be easier if this is continuous.

set <- newSeqExpressionSet(as.matrix(cts), phenoData = metadata)
x = as.factor(metadata$SeqRun) #unwanted variation we're aware of. 
colors <- brewer.pal(length(unique(x)), "Set2")
set1 <- betweenLaneNormalization(set, which="upper")

#What does our data look like now. 
#par(cex=1, mar = c(3,3,3,3), xpd=FALSE, mfrow=c(2,1))
#plotRLE(set, outline=FALSE, ylim=c(-4, 4), col=colors[x])
#plotRLE(set1, outline=FALSE, ylim=c(-4, 4), col=colors[x], las=2)
#Estimating factors using replicates
set2 <- RUVs(set1, rownames(cts), k=1, makeGroups(metadata$Group))

#Estimating factors using residuals
design <- model.matrix(~Group, data=pData(set))
y <- DGEList(counts=counts(set), group=x)
y <- calcNormFactors(y, method="upperquartile")
y <- estimateGLMCommonDisp(y, design)
y <- estimateGLMTagwiseDisp(y, design)

fit <- glmFit(y, design)
res <- residuals(fit, type="deviance")
set3 <- RUVr(set1, rownames(cts), k=1, res)

par(cex=1, mar = c(3,3,3,3), xpd=FALSE, mfrow=c(1,3))
plotPCA(set1, col=colors[x], cex=0.8) + title("Before")
plotPCA(set2, col=colors[x], cex=0.8) + title("RUVs -- replicates")
plotPCA(set3, col=colors[x], cex=0.8) + title("RUVr -- residuals")

Technical Replicates
- “collapseReplicates can assist in combining the counts from technical replicates into single columns of the count matrix.” – deseq2

DESeq2 model
- In an initial version of this I used the full three factor linear model
y=\(\beta_{0}\) + \(\beta_{1}\)Batch + \(\beta_{2}\)Genotype + \(\beta_{3}\)Bonding + \(\beta_{4}\)Sex + \(\beta_{5}\)Genotype:Bonding + \(\beta_{5}\)Genotype:Sex + \(\beta_{6}\)Bonding:Sex + \(\beta_{7}\)Genotype:Bonding:Sex

I found the 2nd and 3rd order interactions effect were small compared to the first order, so going forward I’m just going to make designs with group variables that fit each question.

#FUNCTIONS
amanda.volcano.plot <- function(results, title, gene.list=NA, FCcut = 0, Padjcut = 0.05){
    results <- data.frame(results)
    results <- results[!is.na(results$padj) & !is.na(results$log2FoldChange) ,]
    results$sig <- as.factor(ifelse(results$padj <= Padjcut & abs(results$log2FoldChange) > FCcut, "sig", "notsig"))
    to_label <- results[results$external_gene_name %in% gene.list, ]
    p1 <- ggplot(results, aes(x=log2FoldChange, y=-log10(padj), col=sig)) + 
        geom_point(aes(color = sig)) +
        ggtitle(title) +
        xlab("log2FC") + ylab("-log10(padj)") +
        scale_colour_manual(values = c("black", "red3"), name ="", labels=c("not signficant", "significant")) +
        theme_bw() + 
        theme(legend.justification=c(1,0), legend.position=c(1,0), legend.title = element_blank(), 
              legend.background = element_rect(fill="transparent", linewidth=0.5, linetype="solid", color = "black")) +
        ggrepel::geom_text_repel(data=to_label, aes(label=external_gene_name), show.legend = F, size=2) +
        geom_vline(xintercept = c(FCcut,-1*FCcut), color="blue", linetype="dashed", linewidth=0.5) + 
        geom_hline(yintercept = -log10(Padjcut), color="blue", linetype="dashed", linewidth=0.5) +
        NULL
    return(p1)
}

amanda.quick.boxplots <- function(df, genename, my.title, group.var, my.order=NULL){
  d<- data.frame(t(df[genename, , drop=F]))
  d$group <- metadata[order(metadata$FullID[metadata$SampleID %in% rownames(d)], rownames(d)), group.var]
  colnames(d) <- c("gene", "group")
  d$group <- as.factor(d$group)
  if (!is.null(my.order)){d$group <- factor(d$group, levels=my.order)}
  g1 <- ggplot(d, aes(x=group, y=gene, fill=group)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    ggtitle(my.title) + 
    ylab("Normalized Gene Expression") + 
    xlab("") +
    theme_bw() +
    theme(plot.title = element_text(hjust = 0.5, face="bold", size=12), 
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) +
    NULL
  return(g1)
}
#Data cleaning for deseq

#swap characters so deseq doesn't yell at me. 
pData(set3)[, "Condition"] <- gsub("-", "_", pData(set3)[, "Condition"]) 

keep = c("species", "Condition", "Sex")
pData(set3)[,keep] <- lapply(pData(set3)[,keep] , factor)
pData(set3)[,"species"] <- relevel(pData(set3)[,"species"], ref = "WT")
pData(set3)[,"Condition"] <- relevel(pData(set3)[,"Condition"], ref = "Pre_bond")
pData(set3)[,"Sex"] <- relevel(pData(set3)[,"Sex"], ref = "F")


#Make a column so we can collapse technical replicates later
pData(set3)[pData(set3)$SampleID == "KB29", ]$SampleID <- "KB17"
pData(set3)[pData(set3)$SampleID == "KB28", ]$SampleID <- "KB20"
pData(set3)[pData(set3)$SampleID == "KB27", ]$SampleID <- "KB06"
pData(set3)[pData(set3)$SampleID == "KB26", ]$SampleID <- "KB02"

Q1: What is the bonding effect?

y =\(\beta_{0}\) + \(\beta_{1}\)Batch + \(\beta_{2}\)Bonding

dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), design = ~ W_1 + Condition )
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
ddsnorm <- counts(dds, normalized=TRUE)
res = lfcShrink(dds, type="ashr", contrast=list(c("Condition_Post_bond_vs_Pre_bond")), quiet = TRUE)
mydf <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  left_join(vole_annotation, by="ensembl_gene_id")
sig_joint <- mydf %>% filter(!is.na(padj), padj < 0.05) %>% arrange(padj)
bonding_df <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(bonding_df) <- paste0(colnames(bonding_df), "_joint")
bonding_df$ensembl_gene_id = rownames(res)
metadata$tmp <- paste0(metadata$species, "_", metadata$Sex, "_", metadata$Condition)
myorder = c('WT_F_Pre-bond' ,'WT_F_Post-bond', 'WT_M_Pre-bond', 'WT_M_Post-bond' ,
          'Mut6_F_Pre-bond', 'Mut6_F_Post-bond' ,'Mut6_M_Pre-bond', 'Mut6_M_Post-bond')
myorder2 = c("Pre-bond", "Post-bond")

DEX Table

cat("Number of DEX genes:", nrow(sig_joint))
## Number of DEX genes: 13
sig_joint %>% 
  kbl() %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed")) %>% 
  scroll_box(width = "800px", height = "400px")
ensembl_gene_id baseMean log2FoldChange lfcSE pvalue padj entrezgene_ids external_gene_names gene_biotype entrezgene_id external_gene_name mmusculus_homolog_ensembl_gene mmusculus_homolog_associated_gene_name mmusculus_homolog_orthology_type mmusculus_homolog_perc_id hsapiens_homolog_ensembl_gene hsapiens_homolog_associated_gene_name hsapiens_homolog_orthology_type hsapiens_homolog_perc_id mmusculus_homolog_ensembl_genes mmusculus_homolog_associated_gene_names mmusculus_homolog_perc_ids hsapiens_homolog_ensembl_genes hsapiens_homolog_associated_gene_names hsapiens_homolog_perc_ids mmusculus_entrezgene_ids mmusculus_entrezgene_id hsapiens_entrezgene_ids hsapiens_entrezgene_id
ENSMOCG00000008011 1006.6700 -0.4276940 0.0947017 2.00e-07 0.0024537 101990550 Sgk1 protein_coding 101990550 Sgk1 ENSMUSG00000019970 Sgk1 ortholog_one2one 89.2135 ENSG00000118515 SGK1 ortholog_one2one 89.4382 NA NA NA NA NA NA 20393 20393 6446 6446
ENSMOCG00000021476 2882.0003 -0.5307221 0.1577762 6.00e-07 0.0033414 101980199 Agt protein_coding 101980199 Agt ENSMUSG00000031980 Agt ortholog_one2one 80.9129 ENSG00000135744 AGT ortholog_one2one 63.2780 NA NA NA NA NA NA 11606 11606 183 183
ENSMOCG00000001596 136.3246 -0.4068979 0.1329794 2.00e-06 0.0071968 101982079 Fosb protein_coding 101982079 Fosb ENSMUSG00000003545 Fosb ortholog_one2one 98.5207 ENSG00000125740 FOSB ortholog_one2one 96.4497 NA NA NA NA NA NA 14282 14282 2354 2354
ENSMOCG00000022242 155.4129 -0.3675114 0.1722808 6.30e-06 0.0132565 101999004 Nfkbia protein_coding 101999004 Nfkbia ENSMUSG00000021025 Nfkbia ortholog_one2one 95.8599 ENSG00000100906 NFKBIA ortholog_one2one 91.7197 NA NA NA NA NA NA 18035 18035 4792 4792
ENSMOCG00000010654 728.8035 -0.1689569 0.0846489 9.60e-06 0.0132565 101986045 Kcnk1 protein_coding 101986045 Kcnk1 ENSMUSG00000033998 Kcnk1 ortholog_one2one 97.6190 ENSG00000135750 KCNK1 ortholog_one2one 96.4286 NA NA NA NA NA NA 16525 16525 3775 3775
ENSMOCG00000010316 2803.7236 -0.4079354 0.2272343 6.10e-06 0.0132565 101989913 Ptgds protein_coding 101989913 Ptgds ENSMUSG00000015090 Ptgds ortholog_one2one 86.3874 ENSG00000107317 PTGDS ortholog_one2one 70.1571 NA NA NA NA NA NA 19215 19215 5730 5730
ENSMOCG00000019331 139.3279 -0.3714108 0.2074278 8.40e-06 0.0132565 101991170 Acsm5 protein_coding 101991170 Acsm5 ENSMUSG00000030972 Acsm5 ortholog_one2one 93.0796 ENSG00000183549 ACSM5 ortholog_one2one 84.2561 NA NA NA NA NA NA 272428 272428 54988 54988
ENSMOCG00000011306 178.4914 -0.3775135 0.2500283 8.90e-06 0.0132565 101999815 Pdk4 protein_coding 101999815 Pdk4 ENSMUSG00000019577 Pdk4 ortholog_one2one 96.6019 ENSG00000004799 PDK4 ortholog_one2one 91.9903 NA NA NA NA NA NA 27273 27273 5166 5166
ENSMOCG00000011232 3168.3276 -0.0864964 0.0372613 1.32e-05 0.0161315 101991138 Kidins220 protein_coding 101991138 Kidins220 ENSMUSG00000036333 Kidins220 ortholog_one2one 96.2075 ENSG00000134313 KIDINS220 ortholog_one2one 92.8054 NA NA NA NA NA NA 77480 77480 57498 57498
ENSMOCG00000000666 291.0633 -0.1658812 0.1263209 3.20e-05 0.0351512 101990188 Mertk protein_coding 101990188 Mertk ENSMUSG00000014361 Mertk ortholog_one2one 88.7538 ENSG00000153208 MERTK ortholog_one2one 80.6484 NA NA NA NA NA NA 17289 17289 10461 10461
ENSMOCG00000017685 137.5705 -0.2324423 0.2365139 3.96e-05 0.0396043 102000436 Heph protein_coding 102000436 Heph ENSMUSG00000031209 Heph ortholog_one2one 90.0691 ENSG00000089472 HEPH ortholog_one2one 85.4922 NA NA NA NA NA NA 15203 15203 9843 9843
ENSMOCG00000015375 241.2458 -0.1995635 0.1993981 5.22e-05 0.0478097 101989969 Txnip protein_coding 101989969 Txnip ENSMUSG00000038393 Txnip ortholog_one2one 97.7215 ENSG00000265972 TXNIP ortholog_one2one 95.4430 NA NA NA NA NA NA 56338 56338 10628 10628
ENSMOCG00000018062 147.3422 -0.1888598 0.1979510 5.89e-05 0.0498542 113455429 Prr5 protein_coding 113455429 Prr5 ENSMUSG00000036106 Prr5 ortholog_one2one 95.8656 ENSG00000186654 PRR5 ortholog_one2one 89.6641 NA NA NA NA NA NA 109270 109270 55615 55615

Volcano Plot

amanda.volcano.plot(mydf, title = " ", 
                    gene.list = mydf %>% arrange(padj) %>% head(n=25) %>% pull(external_gene_name), 
                    FCcut = 0)
## Warning: A numeric `legend.position` argument in `theme()` was deprecated in ggplot2
## 3.5.0.
## ℹ Please use the `legend.position.inside` argument of `theme()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

Selected Gene Plot

id = sig_joint %>% arrange(desc(abs(log2FoldChange))) %>% head(n=6) %>% pull(ensembl_gene_id)
name = sig_joint %>% arrange(desc(abs(log2FoldChange))) %>% head(n=6) %>% pull(external_gene_name)

d <- ddsnorm %>% 
    data.frame() %>%
    filter(row.names(ddsnorm) %in% id[1:6]) %>%
    t() %>% data.frame() %>% 
    rownames_to_column() %>%
    tidyr::pivot_longer(cols=-c(rowname), values_to='expr', names_to='gene') %>%
    left_join(metadata[,c("SampleID", "Condition")], by=c("rowname"="SampleID")) %>%
    left_join(vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("gene"="ensembl_gene_id"))
d$Condition <- as.factor(d$Condition)
d$Condition <- factor(d$Condition, levels=c("Pre-bond", "Post-bond"))
d$external_gene_name <- as.factor(d$external_gene_name)
d$external_gene_name <- factor(d$external_gene_name, levels=name)

g1 <- ggplot(d, aes(x=Condition, y=log2(expr), fill=Condition)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    facet_wrap(~external_gene_name, scales = "free_y") + 
    theme_bw() + xlab("") +
    ylab("log2 Normalized Gene Expression") +   
    ggtitle("Top 6 DE Genes in Pairing") + 
    scale_x_discrete(labels = c("pre-pairing", "post-pairing")) +
    scale_fill_manual(values=c("#087B8B","#E5A024")) +
    theme(text=element_text(size=14, face = "bold"),
          strip.text.x = element_text(size = 16), 
          plot.title = element_text(hjust = 0.5), 
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) 
ggsave(plot=g1, file=paste0(output_dir, "figures/Fig5C_BoxPlot.svg"), width=10, height=7)
g1

MA Plot

l = data.frame(res)
l$sig = ifelse(l$padj > 0.05 | is.na(l$padj), "NS", ifelse(l$log2FoldChange >0, "up", "down"))
l$sig <- as.factor(l$sig); l$sig <- factor(l$sig, levels=c("down", "up", "NS"))
l <- left_join(rownames_to_column(l), vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("rowname" = "ensembl_gene_id"))

g1 <- ggplot(l, aes(x=log2(baseMean), y=log2FoldChange, col=sig)) + 
    geom_point(size=4) + 
    scale_color_manual(values=c("#1465AC", "darkgray"), name="", lab=c(paste0("Down: ",table(l$sig)[["down"]]), "NS")) +
    ylim(c(-0.6, 0.25)) +
    theme_bw() + 
    xlab("Log2 Mean Expression") + ylab("Log2 Fold Change") + 
    ggtitle("Pre- vs Post-pairing MA plot") + 
    guides(color = guide_legend(direction = "horizontal")) +
    ggrepel::geom_text_repel(data=l[l$rowname %in% id[1:6], ], aes(label=external_gene_name), 
                             show.legend = F, size=4, box.padding = 0.5, segment.color = NA) +
    theme(text=element_text(size=14, face = "bold"),
          plot.title = element_text(hjust = 0.5),
          legend.position=c(1, 1.03),
          legend.justification="right")

ggsave(plot=g1, file=paste0(output_dir, "figures/Fig5B_MAPlot.svg"), width=10, height=8)
g1

Is the bonding effect different by genotype?
  • y = \(\beta_{0}\) + \(\beta_{1}\)Batch + \(\beta_{2}\)Genotype + \(\beta_{3}\)Bonding + \(\beta_{4}\)Genotype:Bonding
  • In sum, most dex genes are driven by WT samples, but the trends are maintained in the oxtr -/- individuals. This makes me believe we should use the joint analysis for accuracy + to power our results.
dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), 
                              design = ~ W_1 + species + Condition + species:Condition)
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
res = lfcShrink(dds, type="ashr", contrast=list(c("Condition_Post_bond_vs_Pre_bond")), quiet = TRUE)  
sig_WT <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_WT")
bonding_df <- cbind(bonding_df, tmp)


res = lfcShrink(dds, type="ashr", contrast=list(c("Condition_Post_bond_vs_Pre_bond", "speciesMut6.ConditionPost_bond")), quiet = TRUE)  
sig_MUT <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_MUT")
bonding_df <- cbind(bonding_df, tmp)
x = list(
    "joint"=sig_joint$ensembl_gene_id, 
    "WT"=sig_WT$ensembl_gene_id, 
    "MUT"=sig_MUT$ensembl_gene_id
)
g1 <- ggVennDiagram(x, label_alpha = 0, label="count") + 
  scale_fill_gradient(low="blue",high = "yellow") + 
  scale_color_manual(values = c(rep("black",3))) + 
  theme(legend.position="none") + ggtitle("Pre v Post bonding")
tmp <- left_join(data.frame(bonding_df), vole_annotation, by="ensembl_gene_id")

tmp$sig <- "neither"
tmp[tmp$ensembl_gene_id %in% intersect(sig_joint$ensembl_gene_id, sig_WT$ensembl_gene_id), "sig"] <- "both"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_joint$ensembl_gene_id, sig_WT$ensembl_gene_id), "sig"] <- "joint"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_WT$ensembl_gene_id, sig_joint$ensembl_gene_id), "sig"] <- "WT_only"
tmp$sig <- as.factor(tmp$sig)
tmp$sig <- factor(tmp$sig, levels = c("both","joint", "WT_only", "neither"))

tolabel <- tmp[tmp$sig %ni% "neither", ]
tolabel$tmp <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

g2 <- ggplot(tmp, aes(x=abs(log2FoldChange_joint), y=abs(log2FoldChange_WT), color=sig)) + 
    geom_point() + theme_bw() + 
    geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) + 
    ylim(c(0,1)) + xlim(c(0,1)) + 
    scale_color_manual(values=c("#E69F00", "#56B4E9", "darkgreen", "#DDDDDD"), name = "significance @ \npadj < 0.05") +
    ggrepel::geom_text_repel(data=tolabel, aes(label=tmp), show.legend = F, size=2) 
grid.arrange(g1,g2,ncol=2, widths=c(1,3))

Is the bonding effect different by sex?
  • y = \(\beta_{0}\) + \(\beta_{1}\)Batch + \(\beta_{2}\)Sex + \(\beta_{3}\)Bonding + \(\beta_{4}\)Sex:Bonding
  • In sum, most dex genes are driven by female samples, but the trends are maintained in the male samples. This makes me believe we should use the joint analysis for accuracy + to power our results. The magnitude may just change across sexes.
dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), 
                              design = ~ W_1 + Sex + Condition + Sex:Condition)
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
res = lfcShrink(dds, type="ashr", contrast=list(c("Condition_Post_bond_vs_Pre_bond")), quiet = TRUE)  
sig_F <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_F")
bonding_df <- cbind(bonding_df, tmp)

res = lfcShrink(dds, type="ashr", contrast=list(c("Condition_Post_bond_vs_Pre_bond", "SexM.ConditionPost_bond")), quiet = TRUE)  
sig_M <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_M")
bonding_df <- cbind(bonding_df, tmp)
x = list(
    "F+M"=sig_joint$ensembl_gene_id, 
    "F"=sig_F$ensembl_gene_id, 
    "M"=sig_M$ensembl_gene_id
)

g1 <- ggvenn(x, fill_color = c("#96D3BA", "#F36D42", "#6F5DA8"), show_percentage = FALSE, text_size = 6, set_name_size = 5)
tmp <- left_join(data.frame(bonding_df), vole_annotation, by="ensembl_gene_id")

tmp$sig <- "neither"
tmp[tmp$ensembl_gene_id %in% intersect(sig_joint$ensembl_gene_id, sig_F$ensembl_gene_id), "sig"] <- "both"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_joint$ensembl_gene_id, sig_F$ensembl_gene_id), "sig"] <- "joint"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_F$ensembl_gene_id, sig_joint$ensembl_gene_id), "sig"] <- "female_only"
tmp$sig <- as.factor(tmp$sig)
tmp$sig <- factor(tmp$sig, levels = c("joint", "both","female_only",  "neither"))

tolabel <- tmp[tmp$sig %ni% "neither", ]
#tolabel$tmp <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

g2 <- ggplot(tmp, aes(y=abs(log2FoldChange_joint), x=abs(log2FoldChange_F), color=sig)) + 
    geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.3) + 
    geom_point(size=4) + theme_bw() + 
    ylim(c(0,0.8)) + xlim(c(0,0.8)) + 
    xlab("Absolute Log2 Fold-change (F only)") + ylab("Absolute Log2 Fold-change (F+M)") + 
    ggtitle("Pre- vs Post-pairing show sex-specific effect sizes") + 
    scale_color_manual(values=c("#96D3BA","#B1AD57", "#F36D42", "darkgrey"), 
                       lab=c(paste0("F+M (", table(tmp$sig)[[1]],")"),
                             paste0("F and F+M (", table(tmp$sig)[[2]],")"),
                             paste0("F only (", table(tmp$sig)[[3]],")"),
                             "NS"),
                       name = "DEX list") + 
    ggrepel::geom_text_repel(data=tolabel, aes(label=external_gene_name), 
                             show.legend = F, size=3, box.padding = 0.3, segment.color = NA) +
    theme(text=element_text(size=14, face = "bold"),
          plot.title = element_text(hjust = 0.5))

ggsave(plot=grid.arrange(g1,g2,ncol=2, widths=c(1,3)), 
       file=paste0(output_dir, "figures/Fig5D.svg"), width=12, height=7)

grid.arrange(g1,g2,ncol=2, widths=c(1,3))

Is the bonding effect different by sex+genotype?
  • From above we know its WT females driving our effect.
pData(set3)$group <- paste0(pData(set3)$species, "_", pData(set3)$Sex, "_", gsub("_bond", "", pData(set3)$Condition))
pData(set3)$group <- as.factor(pData(set3)$group)
pData(set3)[,"group"] <- relevel(pData(set3)[,"group"], ref = "WT_F_Pre")

dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), design = ~ W_1 + group)
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
res = lfcShrink(dds, type="ashr", contrast=c("group", "WT_F_Post", "WT_F_Pre"), quiet = TRUE)  
sig_WTF <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_WTF")
bonding_df <- cbind(bonding_df, tmp)

res = lfcShrink(dds, type="ashr", contrast=c("group", "WT_M_Post", "WT_M_Pre"), quiet = TRUE)  
sig_WTM <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_WTM")
bonding_df <- cbind(bonding_df, tmp)

res = lfcShrink(dds, type="ashr", contrast=c("group", "Mut6_F_Post", "Mut6_F_Pre"), quiet = TRUE)  
sig_MUTF <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_MUTF")
bonding_df <- cbind(bonding_df, tmp)

res = lfcShrink(dds, type="ashr", contrast=c("group", "Mut6_M_Post", "Mut6_M_Pre"), quiet = TRUE)  
sig_MUTM <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  filter(!is.na(padj), padj < 0.05) 
tmp <- res[, c("log2FoldChange", "padj", "lfcSE")]; colnames(tmp) <- paste0(colnames(tmp), "_MUTM")
bonding_df <- cbind(bonding_df, tmp)
x = list(
    "WT_M"=sig_WTM$ensembl_gene_id, 
    "WT_F"=sig_WTF$ensembl_gene_id,
    "MUT_M"=sig_MUTM$ensembl_gene_id, 
    "MUT_F"=sig_MUTF$ensembl_gene_id
)
g1 <- ggVennDiagram(x, label_alpha = 0, label="count") + 
  scale_fill_gradient(low="blue",high = "yellow") + 
  scale_color_manual(values = c(rep("black",4))) + 
  theme(legend.position="none") + ggtitle("Pre v Post bonding")

x = list(
    "group_unions"=unique(c(sig_WTM$ensembl_gene_id, sig_WTF$ensembl_gene_id, 
                              sig_MUTM$ensembl_gene_id, sig_MUTF$ensembl_gene_id)),
    "joint" = sig_joint$ensembl_gene_id
)
g2 <- ggVennDiagram(x, label_alpha = 0, label="count") + 
  scale_fill_gradient(low="blue",high = "yellow") + 
  scale_color_manual(values = c(rep("black",2))) + 
  theme(legend.position="none") + ggtitle("Pre v Post bonding")

grid.arrange(g1,g2, ncol=2)

{-}

MUT_M
  • only two genes in the venn diagram above
  • Sema3b seems strong and interesting. It can “function in growth cone guidance during neuronal development”
g1 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000010337", "ENSMOCG00000010337 (human ortho gapdh)", "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000010337", "ENSMOCG00000010337 (human ortho gapdh)", "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

g1 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000019704", "Sema3b", "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000019704", "Sema3b", "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

MUT_F
  • four genes in the venn diagram above (one of which is Kdr – repeat of above)
sig_MUTF <- left_join(sig_MUTF, vole_annotation, by="ensembl_gene_id")
i = 1
g1 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

i = 2
g1 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

i = 3
g1 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

i = 4
g1 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, 
                            sig_MUTF[i, "ensembl_gene_id"], sig_MUTF[i, "external_gene_name"], 
                            "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

WT_F
tmp <- left_join(data.frame(bonding_df), vole_annotation, by="ensembl_gene_id")

tmp$sig <- "neither"
tmp[tmp$ensembl_gene_id %in% intersect(sig_joint$ensembl_gene_id, sig_WTF$ensembl_gene_id), "sig"] <- "both"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_joint$ensembl_gene_id, sig_WTF$ensembl_gene_id), "sig"] <- "joint"
tmp[tmp$ensembl_gene_id %in% setdiff(sig_WTF$ensembl_gene_id, sig_joint$ensembl_gene_id), "sig"] <- "WT_F"
tmp$sig <- as.factor(tmp$sig)
tmp$sig <- factor(tmp$sig, levels = c("both","joint", "WT_F", "neither"))

tolabel <- tmp[tmp$sig %ni% "neither", ]
tolabel$tmp <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

ggplot(tmp, aes(x=abs(log2FoldChange_joint), y=abs(log2FoldChange_WTF), color=sig)) + 
    geom_point() + theme_bw() + 
    geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) + 
    ylim(c(0,1)) + xlim(c(0,1)) + 
    scale_color_manual(values=c("#E69F00", "#56B4E9", "darkgreen", "#DDDDDD"), name = "significance @ \np < 0.05") +
    ggrepel::geom_text_repel(data=tolabel, aes(label=tmp), show.legend = F, size=2) 
## Warning: ggrepel: 10 unlabeled data points (too many overlaps). Consider
## increasing max.overlaps

  • We’ve seen Gjb6 and Paqr8 above and we’re shocked by it. Neither of these genes look good at all. Just how we’re slicing the data + variance
g1 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000012456", "Abca5", "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000012456", "Abca5", "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

g1 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000006294", "Selenop", "tmp", myorder) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 4)))
g2 <- amanda.quick.boxplots(ddsnorm, "ENSMOCG00000006294", "Selenop", "Condition", myorder2) +
  scale_fill_manual(values=c(rep(c("#56B4E9","#E69F00"), 1)))
grid.arrange(g1,g2,ncol=2)

WT_M
  • none

library(circlize)
mymat <- ddsnorm %>% 
    data.frame() %>% 
    filter(row.names(ddsnorm) %in% sig_joint$ensembl_gene_id) %>% 
    rownames_to_column() %>% 
    left_join(vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("rowname"="ensembl_gene_id")) %>%
    mutate(longer=ifelse(external_gene_name != "", external_gene_name, ensembl_gene_id)) %>%
    column_to_rownames('longer') %>% select(-c(external_gene_name, rowname))

scaled_mat = t(scale(t(mymat)))


ha = HeatmapAnnotation(
  Pairing = tolower(gsub("_bond", "", colData(dds)$Condition)),
  Genotype = ifelse(colData(dds)$species == "WT", "WT", "OXTR1-/-"),
  Sex = colData(dds)$Sex,
  col = list(
    Genotype = c("WT" = "#774972", "OXTR1-/-"="#D089DA"),
    Pairing = c("pre" = "#087B8B", "post" = "#E5A024"),
    #Sex = c("F" = "#bf083d", "M"= "#2b4599")),
    #Sex = c("F" = "#bf083d", "M"= "lightblue")),
    Sex = c("F" = "black", "M"= "lightgrey")),
  annotation_legend_param = list(
    Pairing=list(at=c("pre","post"), nrow=1),
    Genotype=list(at=c("WT","OXTR1-/-"), nrow=1),
    Sex = list(at=c("F","M"), nrow=1)
  )
  )

#col_fun = colorRamp2(c(-2, 0, 2), c("#E5A024", "white", "#087B8B"))
#col_fun = colorRamp2(c(-2, 0, 2), hcl_palette = "Cork")
#col_fun = colorRamp2(c(-2, 0, 2), hcl_palette = "Blue-Red 3")
#https://jokergoo.github.io/2022/03/08/support-hcl-colormaps-in-complexheatmap/

ht <- Heatmap(scaled_mat, name = "Z-score", top_annotation = ha, 
              #col  = col_fun, 
              show_column_names = FALSE, cluster_columns = TRUE,
              heatmap_legend_param = list(direction="horizontal", nrow=1),
              row_title = "DE Genes", row_title_rot = 90,
              column_title = "Samples", column_title_rot = 0, column_title_side = "bottom",
              use_raster = TRUE)
## 'magick' package is suggested to install to give better rasterization.
## 
## Set `ht_opt$message = FALSE` to turn off this message.
pdf(file=paste0(output_dir, "figures/Supp5B_Heatmap.pdf"), height = 10, width = 10)
draw(ht, merge_legend = TRUE)
dev.off()
## quartz_off_screen 
##                 2
draw(ht, merge_legend = TRUE)

bonding_df <- data.frame(bonding_df)
d0 <- bonding_df %>% 
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("log2FoldChange", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="log2FC", names_to="subgroup") %>%
  mutate(subgroup=gsub("log2FoldChange_", "", subgroup)) 
d1 <- bonding_df %>%
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("padj", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="padj", names_to="subgroup") %>%
  mutate(subgroup=gsub("padj_", "", subgroup)) 
d2 <- bonding_df %>%
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("lfcSE", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="lfcSE", names_to="subgroup") %>%
  mutate(subgroup=gsub("lfcSE_", "", subgroup)) 

d <- join(d2, join(d0, d1, by=c("ensembl_gene_id", "subgroup")), by=c("ensembl_gene_id", "subgroup")) 
d <- join(d, vole_annotation %>% select(ensembl_gene_id, external_gene_name), by="ensembl_gene_id")
d <- d[d$subgroup %ni% c("WT","MUT","F","M"),]

d$subgroup <- d$subgroup
d[d$subgroup == "WTF", "subgroup"] <- "WT females"
d[d$subgroup == "WTM", "subgroup"] <- "WT males"
d[d$subgroup == "MUTF", "subgroup"] <- "OXTR1 -/- females"
d[d$subgroup == "MUTM", "subgroup"] <- "OXTR1 -/- males"
d$subgroup <- factor(d$subgroup, 
                     levels=c("joint", "WT females", "OXTR1 -/- females", "WT males", "OXTR1 -/- males"))
d$sig = ifelse(d$padj < 0.05 & !is.na(d$padj), TRUE, FALSE)
d$name <- ifelse(d$external_gene_name == "", d$ensembl_gene_id, d$external_gene_name)

barchart_subgroup_df <- d
bonding_df <- data.frame(bonding_df)
d0 <- bonding_df %>% 
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("log2FoldChange", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="log2FC", names_to="subgroup") %>%
  mutate(subgroup=gsub("log2FoldChange_", "", subgroup)) 
d1 <- bonding_df %>%
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("padj", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="padj", names_to="subgroup") %>%
  mutate(subgroup=gsub("padj_", "", subgroup)) 
d2 <- bonding_df %>%
  select(c("ensembl_gene_id", colnames(bonding_df)[grep("lfcSE", colnames(bonding_df))])) %>%
  tidyr::pivot_longer(cols = -c(ensembl_gene_id), values_to="lfcSE", names_to="subgroup") %>%
  mutate(subgroup=gsub("lfcSE_", "", subgroup)) 

d <- join(d2, join(d0, d1, by=c("ensembl_gene_id", "subgroup")), by=c("ensembl_gene_id", "subgroup")) 
d <- join(d, vole_annotation %>% select(ensembl_gene_id, external_gene_name), by="ensembl_gene_id")
d <- d[d$subgroup %in% c("F","M", "joint"),]

d$subgroup <- d$subgroup
d[d$subgroup == "F", "subgroup"] <- "female"
d[d$subgroup == "M", "subgroup"] <- "male"
d$subgroup <- factor(d$subgroup, levels=c("joint", "female", "male"))
d$sig = ifelse(d$padj < 0.05 & !is.na(d$padj), TRUE, FALSE)
d$name <- ifelse(d$external_gene_name == "", d$ensembl_gene_id, d$external_gene_name)

barchart_sex_df <- d
relabel <- function(x){ format(x*-1, nsmall = 1)}

amanda_barchart_subgroup <- function(d, sig_extra, mytitle="", legend_title="subgroup", ybreaks=NULL,
                                     cols = c("#bf083d",  "#ff96a1", "#2b4599", "#b3ccff")){
  my_max = d %>% filter(ensembl_gene_id %in% sig_extra) %>% 
    mutate(added = abs(log2FC) + lfcSE) %>% pull(added) %>% max() %>% round(1) + 0.1
  myorder <- d %>% filter(ensembl_gene_id %in% sig_extra) %>%
    filter(subgroup=="joint") %>% arrange(desc(abs(log2FC))) %>% pull(name) %>% as.factor()
  d$name <- factor(d$name, levels=myorder)
  if (is.null(ybreaks)) {ybreaks=seq(0, my_max, by=0.2)}

  g1 <- d %>% 
  filter(ensembl_gene_id %in% sig_extra) %>%
  filter(subgroup=="joint") %>% 
  mutate(dummy="dummy") %>%
    ggplot(aes(x=dummy, y=abs(log2FC), fill=subgroup)) +
    geom_bar(position = "dodge2", stat = "identity") +
    geom_errorbar(aes(ymin=ifelse(abs(log2FC)-lfcSE < 0, 0, abs(log2FC)-lfcSE), 
                      ymax=abs(log2FC)+lfcSE), width=.2, position="dodge2") + 
    #scale_fill_manual(values=c("#7A2048")) + 
    scale_fill_manual(values=c("#087B8B")) + 
    xlab("") + ggtitle(mytitle) + ylab("Absolute log2 Fold Change") + 
    scale_y_continuous(limits = c(min(ybreaks), max(ybreaks)), breaks = ybreaks, labels=relabel) +
    theme_bw() +
    geom_text(aes(y = abs(log2FC)+lfcSE, label = ifelse(sig, "*", ""), group = subgroup), 
            position = position_dodge(width = .9), vjust = -0.1, size = 30 / .pt) +
    facet_wrap(~name, nrow=1,  strip.position = "top") +
    theme(text=element_text(size=14, face = "bold"),
          axis.text.x = element_blank(), legend.position = "none", 
          axis.ticks.x = element_blank(), panel.border=element_blank(),
          plot.margin = unit(c(0.25, 0.25, -0.1, 0.25), "inches")) 
  
  #if (is.null(ybreaks)) {ybreaks=seq(my_max, 0, by=-0.2)
  #}else{ybreaks=ybreaks*-1}
  
  ybreaks=rev(ybreaks)
  
  #top, right, bottom, left
  g2 <- d %>% 
  filter(ensembl_gene_id %in% sig_extra) %>%
  filter(subgroup!="joint") %>% 
  mutate(dummy="dummy") %>% 
    ggplot(aes(x=dummy, y=abs(log2FC), fill=subgroup)) +
    geom_bar(position = "dodge", stat = "identity") + 
    geom_errorbar(aes(ymin=ifelse(abs(log2FC)-lfcSE < 0, 0, abs(log2FC)-lfcSE), 
                      ymax=abs(log2FC)+lfcSE), position="dodge") + 
    geom_label(position = position_dodge(width= 1), aes(label = " ",  y = -0.05, fill = subgroup), size = 0.1)  +
    xlab("") + ylab("filler") +
    theme_bw() + 
    #scale_fill_manual(values=c("#EEAF6A", "#CE7A1F", "#408EC6", "#1E2761")) +
    scale_fill_manual(legend_title, values=cols) +
    geom_text(aes(y = abs(log2FC)+lfcSE, label = ifelse(sig, "*", ""), group = subgroup), 
            position = position_dodge(width = .9), vjust = 1.1, size = 30 / .pt) +
    facet_wrap(~name, nrow=1,  strip.position = "bottom") +
    scale_y_reverse(limits = c(max(ybreaks), -0.051), breaks = ybreaks, labels=relabel) +
    #ylim(c(my_max, -0.051))
    theme(text=element_text(size=14, face = "bold"),
          axis.text.x = element_blank(), legend.position = "bottom",
          axis.title.y=element_text(colour="white"),
          strip.text.x = element_blank(), axis.ticks.x = element_blank(), 
          plot.margin = unit(c(-0.11, 0.25, 0.25, 0.25), "inches"), panel.border=element_blank())

 return(grid.arrange(g1,g2,ncol=1))
}
sig_extra = c(sig_joint$ensembl_gene_id)
g1 = amanda_barchart_subgroup(barchart_subgroup_df, sig_extra, 
                         mytitle="Pre- vs Post-pairing individuals DEGs: Female-driven effect")

g2 = amanda_barchart_subgroup(barchart_sex_df, sig_extra, 
                         mytitle="Pre- vs Post-pairing individuals DEGs: Female-driven effect",
                         legend_title="sex", cols=c("#bf083d",  "#2b4599"))

ggsave(g1, file=paste0(output_dir, "figures/Fig5D.svg"), width=15, height=10)
dir.create(paste0(output_dir,"figures/Fig5E_genePlots/"), recursive = TRUE, showWarnings = FALSE)
possible <- bonding_df[rowSums(bonding_df[,c("padj_joint", "padj_WT", "padj_MUT", "padj_F", "padj_M",  
                                 "padj_WTF", "padj_WTM", "padj_MUTF", "padj_MUTM")] < 0.05, 
                   na.rm=TRUE) > 0, "ensembl_gene_id" ] 
sig_extra = setdiff(possible, sig_joint$ensembl_gene_id)
sig_extra = setdiff(sig_extra, "ENSMOCG00000010337")
tmp = vole_annotation[vole_annotation$ensembl_gene_id %in% sig_extra, c("ensembl_gene_id", "external_gene_name")]
tmp[tmp$ensembl_gene_id == "ENSMOCG00000005084", "external_gene_name"] = "Hbb-bt (mm homolog)"
tmp[tmp$ensembl_gene_id == "ENSMOCG00000019704", "external_gene_name"] = "Sema3b (mm homolog)"
tmp[tmp$ensembl_gene_id == "ENSMOCG00000019711", "external_gene_name"] = "Mast4 (mm homolog)"
id = tmp$ensembl_gene_id
name=tmp$external_gene_name

e <- ddsnorm %>% 
    data.frame() %>%
    filter(row.names(ddsnorm) %in% id) %>%
    t() %>% data.frame() %>% 
    rownames_to_column() %>%
    tidyr::pivot_longer(cols=-c(rowname), values_to='expr', names_to='gene') %>%
    left_join(metadata[,c("SampleID", "tmp")], by=c("rowname"="SampleID")) %>%
    left_join(tmp, by=c("gene"="ensembl_gene_id"))
e$tmp <- as.factor(e$tmp)
e$tmp <- factor(e$tmp, levels=c("WT_F_Pre-bond", "WT_F_Post-bond", "Mut6_F_Pre-bond", "Mut6_F_Post-bond",
                                "WT_M_Pre-bond", "WT_M_Post-bond", "Mut6_M_Pre-bond", "Mut6_M_Post-bond"))
e$external_gene_name <- as.factor(e$external_gene_name)
e$external_gene_name <- factor(e$external_gene_name, levels=name)
e$grouping = factor(gsub("_Pre-bond|_Post-bond", "", e$tmp), 
                    levels=c("WT_F", "Mut6_F", "WT_M","Mut6_M"),
                    labels=c("WT F", "OXTR1-/- F", "WT M", "OXTR1-/- M"))


#pick = "Kdr"
#id = "ENSMOCG00000017085"

#pdf(file="~/Desktop/possible2.pdf", width = 8, height = 6)
#for (i in 1:nrow(tmp)){
#  pick = tmp[i, "external_gene_name"]; id = tmp[i, "ensembl_gene_id"]
ofinterest = c("Fkbp5", "Adora2a", "Spred3", "Sema3b (mm homolog)", "Kdr", "Col4a1", "Col4a2")
for (pick in ofinterest){
  id = tmp[tmp$external_gene_name == pick, "ensembl_gene_id"]
  
  vect = bonding_df %>% 
    filter(ensembl_gene_id == id) %>% 
    select(c("padj_WTF", "padj_MUTF", "padj_WTM", "padj_MUTM")) %>%
    as.numeric() 
  strip <- ggh4x::strip_themed(background_x = elem_list_rect(fill = ifelse(vect < 0.05, "lightgrey","white")))
  g1 <- ggplot(e[e$external_gene_name == pick, ], aes(x=tmp, y=log2(expr), fill=tmp)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    facet_grid2(.~grouping, scales = "free", switch = "x", space = "free_x", strip=strip) +
    theme_minimal() + xlab("") +
    ylab("log2 Normalized Gene Expression") +   
    ggtitle(pick) + 
    scale_x_discrete(labels = rep(c("pre", "post"),4)) +
    scale_fill_manual(values=c("#087B8B","#E5A024", "#087B8B","#E5A024",
                               alpha(c("#087B8B","#E5A024", "#087B8B","#E5A024"), 0.3))) +
    theme(text=element_text(size=14, face = "bold"),
          strip.placement = "outside",
          strip.background = element_rect(fill = "white"),
          plot.title = element_text(hjust = 0.5), 
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) 
  ggsave(plot=g1, file=paste0(output_dir, "figures/Fig5E_genePlots/", pick, "_BoxPlot.svg"), width=10, height=7)
}
ofinterest = c("Fkbp5", "Adora2a", "Spred3", "Sema3b (mm homolog)")
p1 = amanda_barchart_subgroup(barchart_subgroup_df, 
                         tmp[tmp$external_gene_name %in% ofinterest, "ensembl_gene_id"],
                         mytitle="Sex-specific Genes")

ggsave(plot=p1, file=paste0(output_dir, "figures/Fig5E_genePlots/Fig5e_barplots.svg"), width=10, height=7)
Gene-specific plots
ofinterest = c("Fkbp5", "Adora2a", "Spred3", "Sema3b (mm homolog)")
for (pick in ofinterest) {
  id = tmp[tmp$external_gene_name == pick, "ensembl_gene_id"]
  g2 <- amanda_barchart_subgroup(barchart_subgroup_df, c(id), mytitle=" ", ybreaks=c(0, 0.2, 0.4, 0.6)) 
  ggsave(plot=g2, file=paste0(output_dir, "figures/Fig5E_genePlots/", pick, "_BarPlot.svg"), 
         width=5, height=6)
}

pick="Spred3"
g3 <- amanda_barchart_subgroup(barchart_sex_df, c("ENSMOCG00000017207"), mytitle=" ")

ggsave(plot=g3, file=paste0(output_dir, "figures/Fig5E_genePlots/", pick, "_BarPlot_Sex.svg"), width=5, height=6)
ofinterest = c("Kdr", "Col4a1", "Col4a2")
p1 = amanda_barchart_subgroup(barchart_subgroup_df, 
                         tmp[tmp$external_gene_name %in% ofinterest, "ensembl_gene_id"],
                         mytitle="Collagen Genes")

ggsave(plot=p1, file=paste0(output_dir, "figures/Fig5E_genePlots/Fig5e_collagen.svg"), width=10, height=7)

for (pick in ofinterest) {
  id = tmp[tmp$external_gene_name == pick, "ensembl_gene_id"]
  g2 <- amanda_barchart_subgroup(barchart_subgroup_df, c(id), mytitle=" ", ybreaks=c(0, 0.2, 0.4, 0.6, 0.8, 1.0)) 
  ggsave(plot=g2, file=paste0(output_dir, "figures/Fig5E_genePlots/", pick, "_BarPlot.svg"), 
         width=5, height=6)
}

string_db <- STRINGdb$new( version="12.0", #current rn
                           species=9606, # human
                           score_threshold=200, 
                           network_type="full", 
                           input_directory="")

dgenes <- data.frame("genes" = sig_joint$hsapiens_homolog_associated_gene_name)
my_mapped <- string_db$map(dgenes, "genes", removeUnmappedRows = TRUE)
string_db$plot_network(my_mapped$STRING_id)

full.graph <- string_db$get_graph()
subgraph <- induced_subgraph(full.graph, my_mapped$STRING_id)
att = left_join(my_mapped, sig_joint[, c("hsapiens_homolog_associated_gene_name", "log2FoldChange", "padj")],
                by=c("genes"="hsapiens_homolog_associated_gene_name"))
att = att[order(att$STRING_id, vertex_attr(subgraph)$name), ]

vertex_attr(subgraph)$label <- att$genes
col_fun = colorRamp2(c(-0.5, 0), hcl_palette = "Rocket")
vertex_attr(subgraph)$color <- col_fun(att$log2FoldChange)

#helpful code for development. 
#c(bottom, left, top, right)
#c(5, 4, 4, 2)
#layout.matrix <- matrix(c(1,1, 1,2,3,4),ncol=2, nrow=3)
#layout(mat = layout.matrix, heights = c(1,1), widths = c(4,1)) 
#layout.show(3)

#pdf(file=paste0(output_dir, "figures/Supp5E_Network.pdf"), height = 10, width = 10)
par(mar=c(0,0,8,0))
#layout(matrix(1:2,ncol=2), width = c(4,1),height = c(1,1))
layout(matrix(c(1,1, 1,2,3,4),ncol=2, nrow=3),  heights = c(1,1), widths = c(4,1))
set.seed(90) #10 okay too
test.layout <- layout_(subgraph, with_dh(weight.edge.lengths = edge_density(subgraph)/1000))
plot(subgraph, layout = test.layout, edge.curved = 0, 
     vertex.size=25, ylim=c(-1, 1), edge.width=4,
     vertex.label.color="white", vertex.label.cex=1, vertex.label.font = 2)
mtext(string_db$get_summary(my_mapped$STRING_id, 200), cex = 1)

plot.new()

par(mar = c(0, 0, 2, 0))
legend_image <- as.raster(matrix(col_fun(seq(-0.5, 0, by=0.05)), ncol=1))
plot(c(0,2),c(0,1),type = 'n', axes = F,xlab = '', ylab = '', main = 'log2 Fold-change')
text(x=1.5, y = seq(0,1,l=6), labels = seq(0, 0.5, by = 0.1) * -1)
rasterImage(legend_image, 0, 0, 1,1)

#dev.off()

write.csv(sig_joint, file=paste0(output_dir, "Bonding_DEX.csv"))

Q2: What is the mutation effect?

dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), design = ~ W_1 + species)
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
ddsnorm_all <- counts(dds, normalized=TRUE)
res_joint = lfcShrink(dds, type="ashr", contrast=list(c("species_Mut6_vs_WT")), quiet = TRUE)  
mydf_all <- res_joint %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  left_join(vole_annotation, by="ensembl_gene_id")

genotype_df <- data.frame("ensembl_gene_id" = rownames(res_joint),
                         "log2FC_joint" = res_joint$log2FoldChange,
                         "padj_joint"= res_joint$padj)

Now repeat in a sex-specific way

pData(set3)$group <- paste0(pData(set3)$species, "_", pData(set3)$Sex)
pData(set3)$group <- as.factor(pData(set3)$group)
pData(set3)[,"group"] <- relevel(pData(set3)[,"group"], ref = "WT_F")

dds <- DESeqDataSetFromMatrix(countData = counts(set3), colData = pData(set3), design = ~ W_1 + group)
dds <- collapseReplicates(dds, groupby = dds$SampleID)
dds <- DESeq(dds)
ddsnorm_sex <- counts(dds, normalized=TRUE)
res = lfcShrink(dds, type="ashr", contrast=c("group", "Mut6_F", "WT_F"), quiet = TRUE)  
mydf_F <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  left_join(vole_annotation, by="ensembl_gene_id")
genotype_df$log2FC_F <- res$log2FoldChange; genotype_df$padj_F <- res$log2FoldChange

res = lfcShrink(dds, type="ashr", contrast=c("group", "Mut6_M", "WT_M"), quiet = TRUE)  
mydf_M <- res %>% as.data.frame() %>% 
  rownames_to_column(var="ensembl_gene_id") %>% 
  left_join(vole_annotation, by="ensembl_gene_id")
genotype_df$log2FC_M <- res$log2FoldChange; genotype_df$padj_M <- res$log2FoldChange
genotype_df <- left_join(genotype_df, vole_annotation, by="ensembl_gene_id")
x = list(
    "Joint" = genotype_df %>% filter(padj_joint < 0.05) %>% pull(ensembl_gene_id),
    "Male" = genotype_df %>% filter(padj_M < 0.05) %>% pull(ensembl_gene_id),
    "Female" = genotype_df %>% filter(padj_F < 0.05) %>% pull(ensembl_gene_id)
)

g1 <- ggVennDiagram(x, label_alpha = 0) + 
  scale_fill_gradient(low="blue",high = "yellow") + 
  scale_color_manual(values = c(rep("black",3))) + 
  theme(legend.position = "none") + 
  ggtitle("all DEX (padj < 0.05)")
 
x = list(
    "Joint" = genotype_df %>% filter(padj_joint < 0.05, abs(log2FC_joint) > 0.25) %>% pull(ensembl_gene_id),
    "Male" = genotype_df %>% filter(padj_M < 0.05, abs(log2FC_M) > 0.25) %>% pull(ensembl_gene_id),
    "Female" = genotype_df %>% filter(padj_F < 0.05, abs(log2FC_F) > 0.25) %>% pull(ensembl_gene_id)
)

g2 <- ggVennDiagram(x, label_alpha = 0) + 
  scale_fill_gradient(low="blue",high = "yellow") + 
  scale_color_manual(values = c(rep("black",3))) + 
  theme(legend.position = "none") + 
  ggtitle("abs(log2FC) > 0.25")
grid.arrange(g1,g2, ncol=2)

We can already see there are a lot of genes with small log2FCs

genotype_df$sig <- "neither"
genotype_df[genotype_df$ensembl_gene_id %in% intersect(x$Joint, x$Female), "sig"] <- "both"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Joint, x$Female), "sig"] <- "joint"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Female, x$Joint), "sig"] <- "female"
genotype_df$sig <- as.factor(genotype_df$sig)
genotype_df$sig <- factor(genotype_df$sig, levels = c("both", "joint", "female", "neither"))

tolabel <- genotype_df %>% filter(abs(log2FC_F) > 2 | abs(log2FC_joint) > 4) 
tolabel$name <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

g1 <- ggplot(genotype_df, aes(x=abs(log2FC_joint), y=abs(log2FC_F), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) +
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9",  "#DDDDDD")) +
        theme(legend.position = "none") + ggtitle("Females") +
        ggrepel::geom_text_repel(data=tolabel, aes(label=name), show.legend = F, size=2)
                        
g2 <- ggplot(genotype_df, aes(x=abs(log2FC_joint), y=abs(log2FC_F), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) + 
        xlim(c(0,2)) + ylim(c(0,2)) + ggtitle("Femles: zoomed in") + 
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9", "#DDDDDD"), 
        name = "significance @ \np < 0.05\nabs(log2FC) > 0.25")
grid.arrange(g1, g2,ncol=2)

genotype_df$sig <- "neither"
genotype_df[genotype_df$ensembl_gene_id %in% intersect(x$Joint, x$Male), "sig"] <- "both"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Joint, x$Male), "sig"] <- "joint"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Male, x$Joint), "sig"] <- "male"
genotype_df$sig <- as.factor(genotype_df$sig)
genotype_df$sig <- factor(genotype_df$sig, levels = c("both", "joint", "male", "neither"))

tolabel <- genotype_df %>% filter(abs(log2FC_M) > 2 | abs(log2FC_joint) > 4) 
tolabel$name <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

g1 <- ggplot(genotype_df, aes(x=abs(log2FC_joint), y=abs(log2FC_M), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) +
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9",  "#DDDDDD")) +
        theme(legend.position = "none") + ggtitle("Males")+
      ggrepel::geom_text_repel(data=tolabel, aes(label=name), show.legend = F, size=2)
                        
g2 <- ggplot(genotype_df, aes(x=abs(log2FC_joint), y=abs(log2FC_M), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) + 
        xlim(c(0,2)) + ylim(c(0,2)) + ggtitle("Males: zoomed in") + 
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9", "#DDDDDD"), 
                           name = "significance @ \np < 0.05\nabs(log2FC) > 0.25")
grid.arrange(g1, g2,ncol=2)

genotype_df$sig <- "neither"
genotype_df[genotype_df$ensembl_gene_id %in% intersect(x$Female, x$Male), "sig"] <- "both"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Female, x$Male), "sig"] <- "female"
genotype_df[genotype_df$ensembl_gene_id %in% setdiff(x$Male, x$Female), "sig"] <- "male"
genotype_df$sig <- as.factor(genotype_df$sig)
genotype_df$sig <- factor(genotype_df$sig, levels = c("both", "male", "female", "neither"))

tolabel <- genotype_df %>% filter(abs(log2FC_M) > 2 | abs(log2FC_F) > 2) 
tolabel$name <- ifelse(tolabel$external_gene_name == "", tolabel$ensembl_gene_id, tolabel$external_gene_name)

g1 <- ggplot(genotype_df, aes(x=abs(log2FC_M), y=abs(log2FC_F), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) +
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9",  "#DDDDDD")) +
        theme(legend.position = "none") + ggtitle("Female FC compared to male") +
      ggrepel::geom_text_repel(data=tolabel, aes(label=name), show.legend = F, size=2)
                        
g2 <- ggplot(genotype_df, aes(x=abs(log2FC_M), y=abs(log2FC_F), color=sig)) + 
        geom_point() + theme_bw() + 
        geom_abline(slope=1, intercept=0, color="black", linetype="dashed", linewidth=0.5) + 
        xlim(c(0,2)) + ylim(c(0,2)) + ggtitle("zoomed in") + 
        scale_color_manual(values=c("darkgreen", "#E69F00", "#56B4E9", "#DDDDDD"), 
                           name = "significance @ \np < 0.05\nabs(log2FC) > 0.25")
grid.arrange(g1, g2,ncol=2)

maybesexspecific <- genotype_df %>% 
  filter(sig %ni% c("both", "neither")) %>% 
  filter(abs(log2FC_M) > 1 | abs(log2FC_F) > 1 )
print("My take-away is that the 'joint' list where we combine sexes when looking at OXTR -/- vs WT individuals is the most representitive. One piece of reasoning for that is that the effect sizes for hits in the F and M separate analyses mostly get larger in the joint analysis, showing they're working together.")
## [1] "My take-away is that the 'joint' list where we combine sexes when looking at OXTR -/- vs WT individuals is the most representitive. One piece of reasoning for that is that the effect sizes for hits in the F and M separate analyses mostly get larger in the joint analysis, showing they're working together."
sig <- mydf_all %>% filter(padj < 0.05 & abs(log2FoldChange) > 0.25) %>% arrange(padj)

DEX Table

cat("Number of DEX genes:", nrow(sig))
## Number of DEX genes: 1014
sig %>% 
  kbl() %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed")) %>% 
  scroll_box(width = "800px", height = "400px")
ensembl_gene_id baseMean log2FoldChange lfcSE pvalue padj entrezgene_ids external_gene_names gene_biotype entrezgene_id external_gene_name mmusculus_homolog_ensembl_gene mmusculus_homolog_associated_gene_name mmusculus_homolog_orthology_type mmusculus_homolog_perc_id hsapiens_homolog_ensembl_gene hsapiens_homolog_associated_gene_name hsapiens_homolog_orthology_type hsapiens_homolog_perc_id mmusculus_homolog_ensembl_genes mmusculus_homolog_associated_gene_names mmusculus_homolog_perc_ids hsapiens_homolog_ensembl_genes hsapiens_homolog_associated_gene_names hsapiens_homolog_perc_ids mmusculus_entrezgene_ids mmusculus_entrezgene_id hsapiens_entrezgene_ids hsapiens_entrezgene_id
ENSMOCG00000020069 2097.701405 0.4140867 0.0345112 0.0000000 0.0000000 102002880 Slc2a3 protein_coding 102002880 Slc2a3 ENSMUSG00000003153 Slc2a3 ortholog_one2one 89.0244 NA NA NA NA NA NA NA 20527 20527 NA NA
ENSMOCG00000003348 2860.633861 0.3874493 0.0336620 0.0000000 0.0000000 102001679 Kcna1 protein_coding 102001679 Kcna1 ENSMUSG00000047976 Kcna1 ortholog_one2one 99.3939 ENSG00000111262 KCNA1 ortholog_one2one 98.1818 NA NA NA NA NA NA 16485 16485 3736 3736
ENSMOCG00000015206 1523.187882 -0.8973053 0.0794175 0.0000000 0.0000000 101980084, 101997396 , protein_coding 101980084 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000008371 3000.823168 0.2892832 0.0273260 0.0000000 0.0000000 101988943 Rgs8 protein_coding 101988943 Rgs8 ENSMUSG00000042671 Rgs8 ortholog_one2one 98.8889 ENSG00000135824 RGS8 ortholog_one2one 99.4444 NA NA NA NA NA NA 67792 67792 85397 85397
ENSMOCG00000000158 2531.522755 0.4784067 0.0469117 0.0000000 0.0000000 101981468 Cnksr2 protein_coding 101981468 Cnksr2 ENSMUSG00000025658 Cnksr2 ortholog_one2one 98.2558 ENSG00000149970 CNKSR2 ortholog_one2one 98.3527 NA NA NA NA NA NA 245684 245684 22866 22866
ENSMOCG00000021159 197.933160 0.7024903 0.0711058 0.0000000 0.0000000 102000853 Acvr1c protein_coding 102000853 Acvr1c ENSMUSG00000026834 Acvr1c ortholog_one2one 97.7688 ENSG00000123612 ACVR1C ortholog_one2one 93.3063 NA NA NA NA NA NA 269275 269275 130399 130399
ENSMOCG00000001133 542.410241 0.3173673 0.0325954 0.0000000 0.0000000 101997868 protein_coding 101997868 ENSMUSG00000065954 Tacc1 ortholog_one2one 95.3678 ENSG00000147526 TACC1 ortholog_one2one 93.4605 NA NA NA NA NA NA 320165 320165 6867 6867
ENSMOCG00000016726 59.516152 -1.4029891 0.1619847 0.0000000 0.0000000 101985773 protein_coding 101985773 ENSMUSG00000027890 Gstm4 ortholog_one2many 90.3670 ENSG00000168765 GSTM4 ortholog_one2many 86.6973 NA NA NA NA NA NA 14865 14865 2948 2948
ENSMOCG00000021662 794.292406 0.3150956 0.0352556 0.0000000 0.0000000 101983691 Cnot6 protein_coding 101983691 Cnot6 ENSMUSG00000020362 Cnot6 ortholog_one2one 99.8205 ENSG00000113300 CNOT6 ortholog_one2one 96.0503 NA NA NA NA NA NA 104625 104625 57472 57472
ENSMOCG00000013376 1189.465982 0.4084157 0.0469412 0.0000000 0.0000000 101990850 Foxp1 protein_coding 101990850 Foxp1 ENSMUSG00000030067 Foxp1 ortholog_one2one 98.5775 ENSG00000114861 FOXP1 ortholog_one2one 93.1721 NA NA NA NA NA NA 108655 108655 27086 27086
ENSMOCG00000016426 788.938103 0.3856812 0.0452057 0.0000000 0.0000000 101992032 Cldn12 protein_coding 101992032 Cldn12 ENSMUSG00000046798 Cldn12 ortholog_one2one 95.9016 ENSG00000157224 CLDN12 ortholog_one2one 92.2131 NA NA NA NA NA NA 64945 64945 9069 9069
ENSMOCG00000020648 3166.189953 0.3970656 0.0468603 0.0000000 0.0000000 101996670 Cacna2d3 protein_coding 101996670 Cacna2d3 ENSMUSG00000021991 Cacna2d3 ortholog_one2one 98.1668 ENSG00000157445 CACNA2D3 ortholog_one2one 97.3419 NA NA NA NA NA NA 12294 12294 55799 55799
ENSMOCG00000007666 224.597356 -7.0533507 0.8051463 0.0000000 0.0000000 NA protein_coding NA NA ENSG00000111640 GAPDH ortholog_one2many 92.4242 NA NA NA NA NA NA NA NA 2597 2597
ENSMOCG00000000086 658.849706 0.4635763 0.0558037 0.0000000 0.0000000 101982834 B3gnt2 protein_coding 101982834 B3gnt2 ENSMUSG00000051650 B3gnt2 ortholog_one2one 94.2066 ENSG00000170340 B3GNT2 ortholog_one2one 88.6650 NA NA NA NA NA NA 53625 53625 10678 10678
ENSMOCG00000019076 683.095029 0.5771875 0.0684585 0.0000000 0.0000000 101981670 Slc24a4 protein_coding 101981670 Slc24a4 ENSMUSG00000041771 Slc24a4 ortholog_one2one 95.3526 ENSG00000140090 SLC24A4 ortholog_one2one 91.8269 NA NA NA NA NA NA 238384 238384 123041 123041
ENSMOCG00000003033 5099.226248 0.5314593 0.0650499 0.0000000 0.0000000 101995112 Gucy1a1 protein_coding 101995112 Gucy1a1 ENSMUSG00000033910 Gucy1a1 ortholog_one2one 95.9479 ENSG00000164116 GUCY1A1 ortholog_one2one 90.5933 NA NA NA NA NA NA 60596 60596 2982 2982
ENSMOCG00000013328 35.116817 1.0291907 0.1246013 0.0000000 0.0000000 101978947 Lmcd1 protein_coding 101978947 Lmcd1 ENSMUSG00000057604 Lmcd1 ortholog_one2one 97.2603 ENSG00000071282 LMCD1 ortholog_one2one 92.8767 NA NA NA NA NA NA 30937 30937 29995 29995
ENSMOCG00000010948 1137.575118 -0.6724049 0.0807527 0.0000000 0.0000000 101997988 Apod protein_coding 101997988 Apod ENSMUSG00000022548 Apod ortholog_one2one 85.7143 ENSG00000189058 APOD ortholog_one2one 77.7778 NA NA NA NA NA NA 11815 11815 347 347
ENSMOCG00000010597 31.970239 2.0923996 0.2650668 0.0000000 0.0000000 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000011387 96.403126 -0.9174275 0.1112531 0.0000000 0.0000000 101984893 Nrip2 protein_coding 101984893 Nrip2 ENSMUSG00000001520 Nrip2 ortholog_one2one 76.7717 ENSG00000053702 NRIP2 ortholog_one2one 63.7795 NA NA NA NA NA NA 60345 60345 83714 83714
ENSMOCG00000008886 640.396515 0.3254066 0.0398659 0.0000000 0.0000000 101996275 Rgs7bp protein_coding 101996275 Rgs7bp ENSMUSG00000021719 Rgs7bp ortholog_one2one 95.7198 ENSG00000186479 RGS7BP ortholog_one2one 94.1634 NA NA NA NA NA NA 52882 52882 401190 401190
ENSMOCG00000001866 594.076993 0.4094822 0.0516314 0.0000000 0.0000000 101989153 Filip1 protein_coding 101989153 Filip1 ENSMUSG00000034898 Filip1 ortholog_one2one 96.2871 ENSG00000118407 FILIP1 ortholog_one2one 93.7294 NA NA NA NA NA NA 70598 70598 27145 27145
ENSMOCG00000017062 63.946282 -0.8733750 0.1062878 0.0000000 0.0000000 NA protein_coding NA NA ENSG00000099256 PRTFDC1 ortholog_one2one 87.6712 NA NA NA NA NA NA NA NA 56952 56952
ENSMOCG00000022542 515.159233 0.4836214 0.0614758 0.0000000 0.0000000 101990489 Dclk3 protein_coding 101990489 Dclk3 ENSMUSG00000032500 Dclk3 ortholog_one2one 83.7469 ENSG00000163673 DCLK3 ortholog_one2one 77.5434 NA NA NA NA NA NA 245038 245038 85443 85443
ENSMOCG00000021524 749.330459 0.4047501 0.0512712 0.0000000 0.0000000 101996041 Sv2c protein_coding 101996041 Sv2c ENSMUSG00000051111 Sv2c ortholog_one2one 98.8996 ENSG00000122012 SV2C ortholog_one2one 96.6988 NA NA NA NA NA NA 75209 75209 22987 22987
ENSMOCG00000014090 6464.719368 0.3821527 0.0483187 0.0000000 0.0000000 102002707 Rasd2 protein_coding 102002707 Rasd2 ENSMUSG00000034472 Rasd2 ortholog_one2one 98.8722 ENSG00000100302 RASD2 ortholog_one2one 94.7368 NA NA NA NA NA NA 75141 75141 23551 23551
ENSMOCG00000006480 30.454035 1.3717797 0.1793496 0.0000000 0.0000000 101988972 Clec9a protein_coding 101988972 Clec9a ENSMUSG00000046080 Clec9a ortholog_one2one 68.4647 ENSG00000197992 CLEC9A ortholog_one2one 63.4855 NA NA NA NA NA NA 232414 232414 283420 283420
ENSMOCG00000018891 294.737701 -0.9741268 0.1207878 0.0000000 0.0000000 101981359 Ercc6 protein_coding 101981359 Ercc6 ENSMUSG00000054051 Ercc6 ortholog_one2one 85.1927 ENSG00000225830 ERCC6 ortholog_one2one 79.7160 NA NA NA NA NA NA 319955 319955 2074 2074
ENSMOCG00000015653 77.191591 -1.8337712 0.2383059 0.0000000 0.0000000 101989760 Amhr2 protein_coding 101989760 Amhr2 ENSMUSG00000023047 Amhr2 ortholog_one2one 89.2665 ENSG00000135409 AMHR2 ortholog_one2one 77.6386 NA NA NA NA NA NA 110542 110542 269 269
ENSMOCG00000019503 51.866228 -1.0938015 0.1386929 0.0000000 0.0000000 101981407 Arntl2 protein_coding 101981407 Arntl2 ENSMUSG00000040187 Arntl2 ortholog_one2one 75.0000 ENSG00000029153 BMAL2 ortholog_one2one 68.2143 NA NA NA NA NA NA 272322 272322 56938 56938
ENSMOCG00000009834 1158.050811 0.4202401 0.0540350 0.0000000 0.0000000 101984360 Coro7 protein_coding 101984360 Coro7 ENSMUSG00000039637 Coro7 ortholog_one2one 85.5219 ENSG00000262246 CORO7 ortholog_one2one 81.4815 NA NA NA NA NA NA 78885 78885 79585 79585
ENSMOCG00000007360 207.832637 0.5823996 0.0733120 0.0000000 0.0000000 101982896 Gpr52 protein_coding 101982896 Gpr52 ENSMUSG00000118401 Gpr52 ortholog_one2one 97.7839 ENSG00000203737 GPR52 ortholog_one2one 96.1219 NA NA NA NA NA NA 620246 620246 9293 9293
ENSMOCG00000017183 3695.744863 0.2527016 0.0310925 0.0000000 0.0000000 101986453 Sec14l1 protein_coding 101986453 Sec14l1 ENSMUSG00000020823 Sec14l1 ortholog_one2one 96.8056 ENSG00000129657 SEC14L1 ortholog_one2one 94.7222 NA NA NA NA NA NA 74136 74136 6397 6397
ENSMOCG00000001284 40.506949 -1.4852446 0.1979234 0.0000000 0.0000000 101983324 Lgr6 protein_coding 101983324 Lgr6 ENSMUSG00000042793 Lgr6 ortholog_one2one 94.9328 ENSG00000133067 LGR6 ortholog_one2one 89.1417 NA NA NA NA NA NA 329252 329252 59352 59352
ENSMOCG00000004288 844.772742 0.3382995 0.0429668 0.0000000 0.0000000 101984333 Cacna1c protein_coding 101984333 Cacna1c ENSMUSG00000051331 Cacna1c ortholog_one2one 94.8952 ENSG00000151067 CACNA1C ortholog_one2one 91.5223 NA NA NA NA NA NA 12288 12288 775, 100874369 775
ENSMOCG00000001332 424.353029 0.5795174 0.0742364 0.0000000 0.0000000 101987518 Gprin3 protein_coding 101987518 Gprin3 ENSMUSG00000045441 Gprin3 ortholog_one2one 74.3046 ENSG00000185477 GPRIN3 ortholog_one2one 61.0596 NA NA NA NA NA NA 243385 243385 285513 285513
ENSMOCG00000019256 665.219742 -0.4251831 0.0556794 0.0000000 0.0000000 101998996 Fgfr1 protein_coding 101998996 Fgfr1 ENSMUSG00000031565 Fgfr1 ortholog_one2one 94.8843 ENSG00000077782 FGFR1 ortholog_one2one 94.8843 NA NA NA NA NA NA 14182 14182 2260 2260
ENSMOCG00000022995 945.388841 0.4141616 0.0545893 0.0000000 0.0000000 101988567 Fktn protein_coding 101988567 Fktn ENSMUSG00000028414 Fktn ortholog_one2one 93.0586 ENSG00000106692 FKTN ortholog_one2one 89.5879 NA NA NA NA NA NA 246179 246179 2218 2218
ENSMOCG00000012513 8622.350188 0.3497098 0.0454142 0.0000000 0.0000000 101989578 Atp2b1 protein_coding 101989578 Atp2b1 ENSMUSG00000019943 Atp2b1 ortholog_one2one 96.6614 ENSG00000070961 ATP2B1 ortholog_one2one 96.2639 NA NA NA NA NA NA 67972 67972 490 490
ENSMOCG00000002394 502.226995 -0.3202072 0.0411394 0.0000000 0.0000000 102001026 protein_coding 102001026 ENSMUSG00000025702 Marchf8 ortholog_one2one 95.8333 ENSG00000165406 MARCHF8 ortholog_one2one 89.9306 NA NA NA NA NA NA 71779 71779 220972 220972
ENSMOCG00000002047 1848.708774 0.2953445 0.0376014 0.0000000 0.0000000 101986794 Plcb1 protein_coding 101986794 Plcb1 ENSMUSG00000051177 Plcb1 ortholog_one2one 98.1387 ENSG00000182621 PLCB1 ortholog_one2one 96.7851 NA NA NA NA NA NA 18795 18795 23236 23236
ENSMOCG00000018682 1065.591044 0.3347638 0.0434803 0.0000000 0.0000000 101983615 Arhgap26 protein_coding 101983615 Arhgap26 ENSMUSG00000036452 Arhgap26 ortholog_one2one 97.5369 ENSG00000145819 ARHGAP26 ortholog_one2one 90.1478 NA NA NA NA NA NA 71302 71302 23092 23092
ENSMOCG00000005546 2103.366421 0.3462275 0.0455692 0.0000000 0.0000000 101983571 Dgkb protein_coding 101983571 Dgkb ENSMUSG00000036095 Dgkb ortholog_one2one 98.7421 ENSG00000136267 DGKB ortholog_one2one 96.8553 NA NA NA NA NA NA 217480 217480 1607 1607
ENSMOCG00000020447 412.356041 -0.4758640 0.0642899 0.0000000 0.0000000 101985565 Fbxw8 protein_coding 101985565 Fbxw8 ENSMUSG00000032867 Fbxw8 ortholog_one2one 91.7785 ENSG00000174989 FBXW8 ortholog_one2one 82.0470 NA NA NA NA NA NA 231672 231672 26259 26259
ENSMOCG00000020211 66.640010 -0.7199729 0.0926688 0.0000000 0.0000000 101981758 Prr5l protein_coding 101981758 Prr5l ENSMUSG00000032841 Prr5l ortholog_one2one 95.6757 ENSG00000135362 PRR5L ortholog_one2one 89.7297 NA NA NA NA NA NA 72446 72446 79899 79899
ENSMOCG00000019383 192.598718 0.6209579 0.0814343 0.0000000 0.0000000 101983467 Thsd7a protein_coding 101983467 Thsd7a ENSMUSG00000032625 Thsd7a ortholog_one2one 92.8919 ENSG00000005108 THSD7A ortholog_one2one 90.5832 NA NA NA NA NA NA 330267 330267 221981 221981
ENSMOCG00000014756 601.639972 0.3907131 0.0529875 0.0000000 0.0000000 101978874 Kcnma1 protein_coding 101978874 Kcnma1 ENSMUSG00000063142 Kcnma1 ortholog_one2one 99.5146 ENSG00000156113 KCNMA1 ortholog_one2one 98.0583 NA NA NA NA NA NA 16531 16531 3778 3778
ENSMOCG00000014789 485.554670 -0.5862553 0.0784098 0.0000000 0.0000000 101980985 Kndc1 protein_coding 101980985 Kndc1 ENSMUSG00000066129 Kndc1 ortholog_one2one 90.9301 ENSG00000171798 KNDC1 ortholog_one2one 74.8122 NA NA NA NA NA NA 76484 76484 85442 85442
ENSMOCG00000016012 1859.366196 0.4758156 0.0652844 0.0000000 0.0000000 102001574 Necab1 protein_coding 102001574 Necab1 ENSMUSG00000040536 Necab1 ortholog_one2one 97.7273 ENSG00000123119 NECAB1 ortholog_one2one 95.1705 NA NA NA NA NA NA 69352 69352 64168 64168
ENSMOCG00000004855 134.250608 -0.5371513 0.0730740 0.0000000 0.0000000 101984698 Ogg1 protein_coding 101984698 Ogg1 ENSMUSG00000030271 Ogg1 ortholog_one2one 89.8551 ENSG00000114026 OGG1 ortholog_one2one 83.1884 NA NA NA NA NA NA 18294 18294 4968 4968
ENSMOCG00000002386 1211.512740 -0.2986041 0.0395601 0.0000000 0.0000000 101982263 Gstm7 protein_coding 101982263 Gstm7 ENSMUSG00000004035 Gstm7 ortholog_one2one 94.0367 ENSG00000213366 GSTM2 ortholog_one2one 85.3211 NA NA NA NA NA NA 68312 68312 2946 2946
ENSMOCG00000016596 4239.876410 0.5157452 0.0710883 0.0000000 0.0000000 101990937 Pde10a protein_coding 101990937 Pde10a ENSMUSG00000023868 Pde10a ortholog_one2one 94.5844 ENSG00000112541 PDE10A ortholog_one2one 95.5919 NA NA NA NA NA NA 23984 23984 10846, 90632 10846
ENSMOCG00000011761 2364.084689 0.2621403 0.0344589 0.0000000 0.0000000 101992922 Scn2a protein_coding 101992922 Scn2a ENSMUSG00000075318 Scn2a ortholog_one2one 99.3021 ENSG00000136531 SCN2A ortholog_one2one 97.7567 NA NA NA NA NA NA 110876 110876 6326 6326
ENSMOCG00000015620 1432.098418 0.2753751 0.0363970 0.0000000 0.0000000 NA Nedd4l protein_coding NA Nedd4l ENSMUSG00000024589 Nedd4l ortholog_one2one 99.0232 ENSG00000049759 NEDD4L ortholog_one2one 97.4359 NA NA NA NA NA NA 83814 83814 23327 23327
ENSMOCG00000017442 381.049737 0.4213840 0.0584897 0.0000000 0.0000000 101993199 Lrrc61 protein_coding 101993199 Lrrc61 ENSMUSG00000073096 Lrrc61 ortholog_one2one 91.8919 ENSG00000127399 LRRC61 ortholog_one2one 86.4865 NA NA NA NA NA NA 243371 243371 65999 65999
ENSMOCG00000018862 152.302331 -0.8712576 0.1159412 0.0000000 0.0000000 101982072 Syt2 protein_coding 101982072 Syt2 ENSMUSG00000026452 Syt2 ortholog_one2one 98.8067 ENSG00000143858 SYT2 ortholog_one2one 97.8520 NA NA NA NA NA NA 20980 20980 127833 127833
ENSMOCG00000011049 2482.088274 -0.2926714 0.0390463 0.0000000 0.0000000 101991839 Chd5 protein_coding 101991839 Chd5 ENSMUSG00000005045 Chd5 ortholog_one2one 85.8383 ENSG00000116254 CHD5 ortholog_one2one 83.5541 NA NA NA NA NA NA 269610 269610 26038 26038
ENSMOCG00000002174 15.573979 -2.5569454 0.3649044 0.0000000 0.0000000 101991527 protein_coding 101991527 ENSMUSG00000089728 Clec2f ortholog_one2many 47.6415 NA NA NA NA NA NA NA 435921 435921 NA NA
ENSMOCG00000002544 279.437563 -0.5215956 0.0724597 0.0000000 0.0000000 101993749 Agpat4 protein_coding 101993749 Agpat4 ENSMUSG00000023827 Agpat4 ortholog_one2one 97.0900 ENSG00000026652 AGPAT4 ortholog_one2one 85.9788 NA NA NA NA NA NA 68262 68262 56895 56895
ENSMOCG00000002117 27.255270 -3.0281544 0.4286041 0.0000000 0.0000000 101988975 Cdhr18 protein_coding 101988975 Cdhr18 ENSMUSG00000084902 Cdhr18 ortholog_one2one 81.3225 NA NA NA NA NA NA NA 238939 238939 NA NA
ENSMOCG00000013653 195.284403 0.6294575 0.0854575 0.0000000 0.0000000 101996847 Vav3 protein_coding 101996847 Vav3 ENSMUSG00000033721 Vav3 ortholog_one2one 96.8123 ENSG00000134215 VAV3 ortholog_one2one 95.8678 NA NA NA NA NA NA 57257 57257 10451 10451
ENSMOCG00000009231 649.213799 0.3941447 0.0551187 0.0000000 0.0000000 101992989 Map4k3 protein_coding 101992989 Map4k3 ENSMUSG00000024242 Map4k3 ortholog_one2one 94.3694 ENSG00000011566 MAP4K3 ortholog_one2one 92.7928 NA NA NA NA NA NA 225028 225028 8491 8491
ENSMOCG00000017386 254.884379 -0.4856319 0.0684073 0.0000000 0.0000000 101979680 Slco3a1 protein_coding 101979680 Slco3a1 ENSMUSG00000025790 Slco3a1 ortholog_one2one 99.1549 ENSG00000176463 SLCO3A1 ortholog_one2one 98.0282 NA NA NA NA NA NA 108116 108116 28232 28232
ENSMOCG00000012764 246.464305 -0.6150195 0.0841938 0.0000000 0.0000000 101992830 Cdk18 protein_coding 101992830 Cdk18 ENSMUSG00000026437 Cdk18 ortholog_one2one 96.1625 ENSG00000117266 CDK18 ortholog_one2one 91.8736 NA NA NA NA NA NA 18557 18557 5129 5129
ENSMOCG00000011784 121.030420 -0.5582832 0.0781486 0.0000000 0.0000000 101996174 Ebf4 protein_coding 101996174 Ebf4 ENSMUSG00000053552 Ebf4 ortholog_one2one 97.0000 ENSG00000088881 EBF4 ortholog_one2one 93.6667 NA NA NA NA NA NA 228598 228598 57593 57593
ENSMOCG00000007800 17.993204 2.0619817 0.2992539 0.0000000 0.0000000 101988809 Zcwpw1 protein_coding 101988809 Zcwpw1 ENSMUSG00000037108 Zcwpw1 ortholog_one2one 77.6886 ENSG00000078487 ZCWPW1 ortholog_one2one 63.4029 NA NA NA NA NA NA 381678 381678 55063 55063
ENSMOCG00000015343 34.216210 -1.5721926 0.2329846 0.0000000 0.0000000 101992761 Blnk protein_coding 101992761 Blnk ENSMUSG00000061132 Blnk ortholog_one2one 91.6849 ENSG00000095585 BLNK ortholog_one2one 84.6827 NA NA NA NA NA NA 17060 17060 29760 29760
ENSMOCG00000022111 152.724985 0.8564113 0.1173334 0.0000000 0.0000000 NA Gm11992 protein_coding NA Gm11992 ENSMUSG00000040978 Gm11992 ortholog_one2one 85.5172 ENSG00000164746 C7orf57 ortholog_one2one 73.7931 NA NA NA NA NA NA 626870 626870 136288 136288
ENSMOCG00000000493 414.719485 0.3363962 0.0472306 0.0000000 0.0000000 101990432 Utp15 protein_coding 101990432 Utp15 ENSMUSG00000041747 Utp15 ortholog_one2one 91.8561 ENSG00000164338 UTP15 ortholog_one2one 88.6364 NA NA NA NA NA NA 105372 105372 84135 84135
ENSMOCG00000001527 333.451391 0.3645749 0.0523147 0.0000000 0.0000000 101996890 Atxn1 protein_coding 101996890 Atxn1 ENSMUSG00000046876 Atxn1 ortholog_one2one 96.4602 ENSG00000124788 ATXN1 ortholog_one2one 90.8976 NA NA NA NA NA NA 20238 20238 6310 6310
ENSMOCG00000020893 1860.818750 0.3834136 0.0555641 0.0000000 0.0000000 101984407 Rasgrp1 protein_coding 101984407 Rasgrp1 ENSMUSG00000027347 Rasgrp1 ortholog_one2one 96.4824 ENSG00000172575 RASGRP1 ortholog_one2one 91.7923 NA NA NA NA NA NA 19419 19419 10125 10125
ENSMOCG00000016694 205.650401 -0.5519380 0.0798061 0.0000000 0.0000000 101983499 Oxnad1 protein_coding 101983499 Oxnad1 ENSMUSG00000021906 Oxnad1 ortholog_one2one 87.1383 ENSG00000154814 OXNAD1 ortholog_one2one 83.2797 NA NA NA NA NA NA 218885 218885 92106 92106
ENSMOCG00000004856 1774.616709 0.3176813 0.0453472 0.0000000 0.0000000 101983306 Pcdh17 protein_coding 101983306 Pcdh17 ENSMUSG00000035566 Pcdh17 ortholog_one2one 98.8783 ENSG00000118946 PCDH17 ortholog_one2one 98.2744 NA NA NA NA NA NA 219228 219228 27253 27253
ENSMOCG00000019047 600.704988 0.2722218 0.0383740 0.0000000 0.0000000 101984161 Sh3bp5 protein_coding 101984161 Sh3bp5 ENSMUSG00000021892 Sh3bp5 ortholog_one2one 94.3231 ENSG00000131370 SH3BP5 ortholog_one2one 91.4847 NA NA NA NA NA NA 24056 24056 9467 9467
ENSMOCG00000017020 542.561619 -0.3197766 0.0460404 0.0000000 0.0000000 101993491 Tbkbp1 protein_coding 101993491 Tbkbp1 ENSMUSG00000038517 Tbkbp1 ortholog_one2one 96.5742 ENSG00000198933 TBKBP1 ortholog_one2one 93.1485 NA NA NA NA NA NA 73174 73174 9755 9755
ENSMOCG00000014883 208.760682 0.7315658 0.1036807 0.0000000 0.0000000 101998102 Mlip protein_coding 101998102 Mlip ENSMUSG00000032355 Mlip ortholog_one2one 81.1594 ENSG00000146147 MLIP ortholog_one2one 71.2215 NA NA NA NA NA NA 69642 69642 90523, 101927189 90523
ENSMOCG00000019081 2065.974791 0.2826410 0.0402136 0.0000000 0.0000000 101991872 Cacna1e protein_coding 101991872 Cacna1e ENSMUSG00000004110 Cacna1e ortholog_one2one 96.7420 ENSG00000198216 CACNA1E ortholog_one2one 95.6560 NA NA NA NA NA NA 12290 12290 777 777
ENSMOCG00000022869 2469.088587 0.3187510 0.0460921 0.0000000 0.0000000 101986595 Snca protein_coding 101986595 Snca ENSMUSG00000025889 Snca ortholog_one2one 99.2857 ENSG00000145335 SNCA ortholog_one2one 95.0000 NA NA NA NA NA NA 20617 20617 6622 6622
ENSMOCG00000007772 197.208242 -0.4788712 0.0721468 0.0000000 0.0000000 101984170 Itga3 protein_coding 101984170 Itga3 ENSMUSG00000001507 Itga3 ortholog_one2one 91.2464 ENSG00000005884 ITGA3 ortholog_one2one 87.4405 NA NA NA NA NA NA 16400 16400 3675 3675
ENSMOCG00000019201 788.624889 -0.5880906 0.0862753 0.0000000 0.0000000 101997198 Vamp1 protein_coding 101997198 Vamp1 ENSMUSG00000030337 Vamp1 ortholog_one2one 94.0678 ENSG00000139190 VAMP1 ortholog_one2one 97.4576 NA NA NA NA NA NA 22317, 78668 22317 6843 6843
ENSMOCG00000007372 140.645182 0.7865425 0.1120247 0.0000000 0.0000000 101998657 Tecta protein_coding 101998657 Tecta ENSMUSG00000037705 Tecta ortholog_one2one 98.4230 ENSG00000109927 TECTA ortholog_one2one 96.0111 NA NA NA NA NA NA 21683 21683 7007, 116804918 7007
ENSMOCG00000000889 389.743678 -0.6107087 0.0891701 0.0000000 0.0000000 101983268 Tac2 protein_coding 101983268 Tac2 ENSMUSG00000025400 Tac2 ortholog_one2one 79.8319 ENSG00000166863 TAC3 ortholog_one2one 60.5042 NA NA NA NA NA NA 21334 21334 6866 6866
ENSMOCG00000022450 132.161361 -0.8784182 0.1259144 0.0000000 0.0000000 101998127 Vwa3a protein_coding 101998127 Vwa3a ENSMUSG00000030889 Vwa3a ortholog_one2one 81.7391 ENSG00000175267 VWA3A ortholog_one2one 73.5652 NA NA NA NA NA NA 233813 233813 146177 146177
ENSMOCG00000021066 2497.131915 0.2514484 0.0356086 0.0000000 0.0000000 101986394 Cracdl protein_coding 101986394 Cracdl ENSMUSG00000026090 Cracdl ortholog_one2one 79.8148 ENSG00000196872 CRACDL ortholog_one2one 56.2963 NA NA NA NA NA NA 72097 72097 343990 343990
ENSMOCG00000022659 253.793516 -0.8516675 0.1219530 0.0000000 0.0000000 101987554 Elfn1 protein_coding 101987554 Elfn1 ENSMUSG00000048988 Elfn1 ortholog_one2one 96.6265 ENSG00000225968 ELFN1 ortholog_one2one 87.7108 NA NA NA NA NA NA 243312 243312 392617 392617
ENSMOCG00000013860 27.868455 -5.4817301 0.7618005 0.0000000 0.0000000 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000012580 167.671833 -0.4550246 0.0693964 0.0000000 0.0000000 101996732 Cand2 protein_coding 101996732 Cand2 ENSMUSG00000030319 Cand2 ortholog_one2one 95.3884 ENSG00000144712 CAND2 ortholog_one2one 91.2621 NA NA NA NA NA NA 67088 67088 23066 23066
ENSMOCG00000000362 1251.918804 0.2552235 0.0365192 0.0000000 0.0000000 102002657 Dmxl1 protein_coding 102002657 Dmxl1 ENSMUSG00000037416 Dmxl1 ortholog_one2one 92.0515 ENSG00000172869 DMXL1 ortholog_one2one 90.0066 NA NA NA NA NA NA 240283 240283 1657 1657
ENSMOCG00000006434 1101.342171 0.2986016 0.0435139 0.0000000 0.0000000 101988288 Ppp4r4 protein_coding 101988288 Ppp4r4 ENSMUSG00000021209 Ppp4r4 ortholog_one2one 94.7368 ENSG00000119698 PPP4R4 ortholog_one2one 91.6476 NA NA NA NA NA NA 74521 74521 57718 57718
ENSMOCG00000001420 465.571908 0.2895009 0.0420296 0.0000000 0.0000000 101988386 Lrtm2 protein_coding 101988386 Lrtm2 ENSMUSG00000055003 Lrtm2 ortholog_one2one 96.2162 ENSG00000166159 LRTM2 ortholog_one2one 90.5405 NA NA NA NA NA NA 211187 211187 654429 654429
ENSMOCG00000005135 33.771866 0.9469569 0.1389536 0.0000000 0.0000000 101985398 Acpp protein_coding 101985398 Acpp ENSMUSG00000032561 Acpp ortholog_one2one 87.4699 ENSG00000014257 ACP3 ortholog_one2one 75.4217 NA NA NA NA NA NA 56318 56318 55 55
ENSMOCG00000004219 569.069146 -0.4257036 0.0654453 0.0000000 0.0000000 101982188 Ttyh2 protein_coding 101982188 Ttyh2 ENSMUSG00000034714 Ttyh2 ortholog_one2one 93.6090 ENSG00000141540 TTYH2 ortholog_one2one 83.2707 NA NA NA NA NA NA 117160 117160 94015 94015
ENSMOCG00000018809 1015.258734 0.2639881 0.0381825 0.0000000 0.0000000 101993475 Dennd11 protein_coding 101993475 Dennd11 ENSMUSG00000037172 Dennd11 ortholog_one2one 98.9011 ENSG00000257093 DENND11 ortholog_one2one 96.7033 NA NA NA NA NA NA 243780 243780 57189 57189
ENSMOCG00000010553 636.658293 -0.2926992 0.0429912 0.0000000 0.0000000 101992834 Aifm3 protein_coding 101992834 Aifm3 ENSMUSG00000022763 Aifm3 ortholog_one2one 98.5124 ENSG00000183773 AIFM3 ortholog_one2one 96.1983 NA NA NA NA NA NA 72168 72168 150209 150209
ENSMOCG00000009992 150.529353 -0.5828053 0.0880785 0.0000000 0.0000000 101997095 Ankrd6 protein_coding 101997095 Ankrd6 ENSMUSG00000040183 Ankrd6 ortholog_one2one 92.5035 ENSG00000135299 ANKRD6 ortholog_one2one 85.1485 NA NA NA NA NA NA 140577 140577 22881 22881
ENSMOCG00000020252 122.136116 0.8138362 0.1197303 0.0000000 0.0000000 101985388 Micall2 protein_coding 101985388 Micall2 ENSMUSG00000036718 Micall2 ortholog_one2one 74.7379 ENSG00000164877 MICALL2 ortholog_one2one 53.7736 NA NA NA NA NA NA 231830 231830 79778 79778
ENSMOCG00000001238 59.252438 -6.4644464 0.9296445 0.0000000 0.0000000 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000016241 8.184351 3.0330309 0.4788398 0.0000000 0.0000000 102001657 Epgn protein_coding 102001657 Epgn ENSMUSG00000035020 Epgn ortholog_one2one 84.5161 ENSG00000182585 EPGN ortholog_one2one 75.4839 NA NA NA NA NA NA 71920 71920 255324 255324
ENSMOCG00000021978 2503.981650 0.3913382 0.0606232 0.0000000 0.0000000 101996070 Ano3 protein_coding 101996070 Ano3 ENSMUSG00000074968 Ano3 ortholog_one2one 98.1651 ENSG00000134343 ANO3 ortholog_one2one 94.0877 NA NA NA NA NA NA 228432 228432 63982 63982
ENSMOCG00000020214 707.641397 0.3375169 0.0511318 0.0000000 0.0000000 101993354 Epha7 protein_coding 101993354 Epha7 ENSMUSG00000028289 Epha7 ortholog_one2one 98.9980 ENSG00000135333 EPHA7 ortholog_one2one 98.6974 NA NA NA NA NA NA 13841 13841 2045 2045
ENSMOCG00000011597 80.225014 -0.6579311 0.0984148 0.0000000 0.0000000 102000152 Alpl protein_coding 102000152 Alpl ENSMUSG00000028766 Alpl ortholog_one2one 95.4198 ENSG00000162551 ALPL ortholog_one2one 91.0305 NA NA NA NA NA NA 11647 11647 249 249
ENSMOCG00000017841 176.283261 -0.5212606 0.0812717 0.0000000 0.0000000 102002199 Arhgef37 protein_coding 102002199 Arhgef37 ENSMUSG00000045094 Arhgef37 ortholog_one2one 87.8698 ENSG00000183111 ARHGEF37 ortholog_one2one 80.7692 NA NA NA NA NA NA 328967 328967 389337 389337
ENSMOCG00000017301 232.088980 -0.4152807 0.0650491 0.0000000 0.0000000 101990908 Arhgef28 protein_coding 101990908 Arhgef28 ENSMUSG00000021662 Arhgef28 ortholog_one2one 88.8624 ENSG00000214944 ARHGEF28 ortholog_one2one 79.7498 NA NA NA NA NA NA 110596 110596 64283 64283
ENSMOCG00000010940 8751.424195 0.2519632 0.0372424 0.0000000 0.0000000 101992409 Phactr1 protein_coding 101992409 Phactr1 ENSMUSG00000054728 Phactr1 ortholog_one2one 97.8428 ENSG00000112137 PHACTR1 ortholog_one2one 86.4407 NA NA NA NA NA NA 218194 218194 221692 221692
ENSMOCG00000006730 549.511990 0.3376728 0.0517863 0.0000000 0.0000000 101995770 Tmod1 protein_coding 101995770 Tmod1 ENSMUSG00000028328 Tmod1 ortholog_one2one 98.6072 ENSG00000136842 TMOD1 ortholog_one2one 96.1003 NA NA NA NA NA NA 21916 21916 7111 7111
ENSMOCG00000015544 210.939251 0.7210888 0.1081617 0.0000000 0.0000000 101993756 Pdzrn3 protein_coding 101993756 Pdzrn3 ENSMUSG00000035357 Pdzrn3 ortholog_one2one 98.3067 ENSG00000121440 PDZRN3 ortholog_one2one 95.2023 NA NA NA NA NA NA 55983 55983 23024 23024
ENSMOCG00000011021 3083.937656 0.2777951 0.0415103 0.0000000 0.0000000 101994616 Gucy1b1 protein_coding 101994616 Gucy1b1 ENSMUSG00000028005 Gucy1b1 ortholog_one2one 97.5845 ENSG00000061918 GUCY1B1 ortholog_one2one 98.2287 NA NA NA NA NA NA 54195 54195 2983 2983
ENSMOCG00000021415 137.545095 -0.6423016 0.0985472 0.0000000 0.0000000 101979864 Cyp4x1 protein_coding 101979864 Cyp4x1 ENSMUSG00000047155 Cyp4x1 ortholog_one2one 90.9091 ENSG00000186377 CYP4X1 ortholog_one2one 71.9368 NA NA NA NA NA NA 81906 81906 260293 260293
ENSMOCG00000019986 32.013461 -1.1206787 0.1778611 0.0000000 0.0000000 101993862 Sh3tc1 protein_coding 101993862 Sh3tc1 ENSMUSG00000036553 Sh3tc1 ortholog_one2one 89.9479 ENSG00000125089 SH3TC1 ortholog_one2one 72.4497 NA NA NA NA NA NA 231147 231147 54436 54436
ENSMOCG00000018490 2069.119113 0.2582331 0.0386987 0.0000000 0.0000000 101981065 Smad3 protein_coding 101981065 Smad3 ENSMUSG00000032402 Smad3 ortholog_one2one 100.0000 ENSG00000166949 SMAD3 ortholog_one2one 100.0000 NA NA NA NA NA NA 17127 17127 4088 4088
ENSMOCG00000001493 129.286134 -0.6118159 0.0949191 0.0000000 0.0000000 101992631 Psph protein_coding 101992631 Psph ENSMUSG00000029446 Psph ortholog_one2one 96.4444 ENSG00000146733 PSPH ortholog_one2one 92.0000 NA NA NA NA NA NA 100678 100678 5723 5723
ENSMOCG00000017138 731.352977 0.2699359 0.0406952 0.0000000 0.0000000 101998507 Kcnq3 protein_coding 101998507 Kcnq3 ENSMUSG00000056258 Kcnq3 ortholog_one2one 98.3963 ENSG00000184156 KCNQ3 ortholog_one2one 95.5326 NA NA NA NA NA NA 110862 110862 3786 3786
ENSMOCG00000021840 976.895583 0.3384763 0.0527652 0.0000000 0.0000000 101997361 Camk4 protein_coding 101997361 Camk4 ENSMUSG00000038128 Camk4 ortholog_one2one 82.8704 ENSG00000152495 CAMK4 ortholog_one2one 81.0185 NA NA NA NA NA NA 12326 12326 814 814
ENSMOCG00000012241 35.590524 -1.0659671 0.1682393 0.0000000 0.0000000 101988527 Fads6 protein_coding 101988527 Fads6 ENSMUSG00000044788 Fads6 ortholog_one2one 88.8889 ENSG00000172782 FADS6 ortholog_one2one 79.8246 NA NA NA NA NA NA 328035 328035 283985 283985
ENSMOCG00000019874 181.764715 -0.5170787 0.0831383 0.0000000 0.0000000 101990699 Cdr2l protein_coding 101990699 Cdr2l ENSMUSG00000050910 Cdr2l ortholog_one2one 97.4194 ENSG00000109089 CDR2L ortholog_one2one 93.7634 NA NA NA NA NA NA 237988 237988 30850 30850
ENSMOCG00000022468 1445.284314 0.2949394 0.0451895 0.0000000 0.0000000 101994537 Cacnb4 protein_coding 101994537 Cacnb4 ENSMUSG00000017412 Cacnb4 ortholog_one2one 99.0366 ENSG00000182389 CACNB4 ortholog_one2one 98.4586 NA NA NA NA NA NA 12298 12298 785 785
ENSMOCG00000014104 1146.082514 0.2861557 0.0437484 0.0000000 0.0000000 101987971 Gpr158 protein_coding 101987971 Gpr158 ENSMUSG00000045967 Gpr158 ortholog_one2one 91.5423 ENSG00000151025 GPR158 ortholog_one2one 86.8159 NA NA NA NA NA NA 241263 241263 57512 57512
ENSMOCG00000019489 5124.809781 0.2590073 0.0392735 0.0000000 0.0000000 101999295 Ppp2r2c protein_coding 101999295 Ppp2r2c ENSMUSG00000029120 Ppp2r2c ortholog_one2one 99.5526 ENSG00000074211 PPP2R2C ortholog_one2one 99.5526 NA NA NA NA NA NA 269643 269643 5522 5522
ENSMOCG00000009885 1187.767358 0.2575088 0.0390848 0.0000000 0.0000000 101990061 Strn protein_coding 101990061 Strn ENSMUSG00000024077 Strn ortholog_one2one 96.7949 ENSG00000115808 STRN ortholog_one2one 96.9231 NA NA NA NA NA NA 268980 268980 6801 6801
ENSMOCG00000016754 312.178865 -0.3723388 0.0597956 0.0000000 0.0000000 101980044 Plxnb3 protein_coding 101980044 Plxnb3 ENSMUSG00000031385 Plxnb3 ortholog_one2one 91.4916 ENSG00000198753 PLXNB3 ortholog_one2one 85.0840 NA NA NA NA NA NA 140571 140571 5365 5365
ENSMOCG00000021091 58.749681 -0.8276528 0.1275414 0.0000000 0.0000000 101987165 Lamc2 protein_coding 101987165 Lamc2 ENSMUSG00000026479 Lamc2 ortholog_one2one 90.2685 ENSG00000058085 LAMC2 ortholog_one2one 82.4664 NA NA NA NA NA NA 16782 16782 3918 3918
ENSMOCG00000001939 493.434467 -0.5700352 0.0914058 0.0000000 0.0000000 101987384 Ece2 protein_coding 101987384 Ece2 ENSMUSG00000022842 Ece2 ortholog_one2one 79.6053 ENSG00000145194 ECE2 ortholog_one2one 76.2061 NA NA NA NA NA NA 107522 107522 9718 9718
ENSMOCG00000022678 114.598044 -0.5849759 0.0933793 0.0000000 0.0000000 102001737 Epha10 protein_coding 102001737 Epha10 ENSMUSG00000028876 Epha10 ortholog_one2one 82.3944 ENSG00000183317 EPHA10 ortholog_one2one 92.6559 NA NA NA NA NA NA 230735 230735 284656 284656
ENSMOCG00000006680 602.874786 -0.5280717 0.0861088 0.0000000 0.0000000 101978857 Sez6l protein_coding 101978857 Sez6l ENSMUSG00000058153 Sez6l ortholog_one2one 93.9834 ENSG00000100095 SEZ6L ortholog_one2one 85.0622 NA NA NA NA NA NA 56747 56747 23544 23544
ENSMOCG00000016633 1353.437399 0.2855533 0.0442622 0.0000000 0.0000000 102000265 Osbpl8 protein_coding 102000265 Osbpl8 ENSMUSG00000020189 Osbpl8 ortholog_one2one 95.4338 ENSG00000091039 OSBPL8 ortholog_one2one 95.7763 NA NA NA NA NA NA 237542 237542 114882 114882
ENSMOCG00000006588 265.076319 -0.2976405 0.0464370 0.0000000 0.0000000 106144272 Mrps6 protein_coding 106144272 Mrps6 ENSMUSG00000039680 Mrps6 ortholog_one2one 93.6000 ENSG00000243927 MRPS6 ortholog_one2one 81.6000 NA NA NA NA NA NA 121022 121022 64968 64968
ENSMOCG00000019723 677.930072 0.6228930 0.0989372 0.0000000 0.0000000 NA Coch protein_coding NA Coch ENSMUSG00000020953 Coch ortholog_one2one 96.9231 ENSG00000100473 COCH ortholog_one2one 95.5769 NA NA NA NA NA NA 12810 12810 1690 1690
ENSMOCG00000005438 2422.556696 0.2734516 0.0422775 0.0000000 0.0000000 102002034 Epha4 protein_coding 102002034 Epha4 ENSMUSG00000026235 Epha4 ortholog_one2one 99.2901 ENSG00000116106 EPHA4 ortholog_one2one 98.4787 NA NA NA NA NA NA 13838 13838 2043 2043
ENSMOCG00000006938 427.374325 0.3594227 0.0584078 0.0000000 0.0000000 101980108 Zfp385b protein_coding 101980108 Zfp385b ENSMUSG00000027016 Zfp385b ortholog_one2one 95.1087 ENSG00000144331 ZNF385B ortholog_one2one 93.4783 NA NA NA NA NA NA 241494 241494 151126 151126
ENSMOCG00000005835 1831.002647 0.2926100 0.0460217 0.0000000 0.0000000 101983212 Rarb protein_coding 101983212 Rarb ENSMUSG00000017491 Rarb ortholog_one2one 99.3304 ENSG00000077092 RARB ortholog_one2one 98.2143 NA NA NA NA NA NA 218772 218772 5915 5915
ENSMOCG00000009188 69.405197 -0.6213034 0.0999430 0.0000000 0.0000000 101993721 Dock5 protein_coding 101993721 Dock5 ENSMUSG00000044447 Dock5 ortholog_one2one 97.1092 ENSG00000147459 DOCK5 ortholog_one2one 94.4861 NA NA NA NA NA NA 68813 68813 80005 80005
ENSMOCG00000018761 105.888966 -0.4544448 0.0762793 0.0000000 0.0000000 101985227 Pdlim4 protein_coding 101985227 Pdlim4 ENSMUSG00000020388 Pdlim4 ortholog_one2one 95.1515 ENSG00000131435 PDLIM4 ortholog_one2one 89.3939 NA NA NA NA NA NA 30794 30794 8572 8572
ENSMOCG00000009245 155.699813 -0.6938695 0.1101379 0.0000000 0.0000000 NA Obscn protein_coding NA Obscn ENSMUSG00000061462 Obscn ortholog_one2one 82.6959 ENSG00000154358 OBSCN ortholog_one2one 71.0121 NA NA NA NA NA NA 380698 380698 84033 84033
ENSMOCG00000004120 1776.033918 0.2602212 0.0407092 0.0000000 0.0000000 101998432 Gabra4 protein_coding 101998432 Gabra4 ENSMUSG00000029211 Gabra4 ortholog_one2one 95.4628 ENSG00000109158 GABRA4 ortholog_one2one 89.6552 NA NA NA NA NA NA 14397 14397 2557 2557
ENSMOCG00000008629 68.839856 -0.6074318 0.0988206 0.0000000 0.0000000 101981613 Tmem88b protein_coding 101981613 Tmem88b ENSMUSG00000073680 Tmem88b ortholog_one2one 79.3296 ENSG00000205116 TMEM88B ortholog_one2one 65.9218 NA NA NA NA NA NA 320587 320587 643965 643965
ENSMOCG00000011248 891.379523 -0.2624029 0.0411292 0.0000000 0.0000000 101995166 Rabggtb protein_coding 101995166 Rabggtb ENSMUSG00000038975 Rabggtb ortholog_one2one 98.4663 ENSG00000137955 RABGGTB ortholog_one2one 97.2393 NA NA NA NA NA NA 19352 19352 5876 5876
ENSMOCG00000011224 2187.311983 0.2890264 0.0459281 0.0000000 0.0000000 101988616 Mmd protein_coding 101988616 Mmd ENSMUSG00000003948 Mmd ortholog_one2one 98.3193 ENSG00000108960 MMD ortholog_one2one 97.4790 NA NA NA NA NA NA 67468 67468 23531 23531
ENSMOCG00000006768 19653.851448 0.2781339 0.0440321 0.0000000 0.0000000 101998884 Camk2a protein_coding 101998884 Camk2a ENSMUSG00000024617 Camk2a ortholog_one2one 100.0000 ENSG00000070808 CAMK2A ortholog_one2one 99.7955 NA NA NA NA NA NA 12322 12322 815 815
ENSMOCG00000013444 463.398189 0.2624365 0.0414366 0.0000000 0.0000000 101986228 Dlgap2 protein_coding 101986228 Dlgap2 ENSMUSG00000047495 Dlgap2 ortholog_one2one 96.6038 ENSG00000198010 DLGAP2 ortholog_one2one 90.4717 NA NA NA NA NA NA 244310 244310 9228 9228
ENSMOCG00000007173 329.200500 0.2772222 0.0442269 0.0000000 0.0000000 101998243 Reps2 protein_coding 101998243 Reps2 ENSMUSG00000040855 Reps2 ortholog_one2one 93.5285 ENSG00000169891 REPS2 ortholog_one2one 88.5978 NA NA NA NA NA NA 194590 194590 9185 9185
ENSMOCG00000008079 231.677280 -0.6886401 0.1115055 0.0000000 0.0000000 101980707 Adgra1 protein_coding 101980707 Adgra1 ENSMUSG00000025475 Adgra1 ortholog_one2one 96.7185 ENSG00000197177 ADGRA1 ortholog_one2one 80.8290 NA NA NA NA NA NA 52389 52389 84435 84435
ENSMOCG00000000458 12391.472589 0.3020567 0.0489737 0.0000000 0.0000000 101984464 Hpca protein_coding 101984464 Hpca ENSMUSG00000028785 Hpca ortholog_one2one 100.0000 ENSG00000121905 HPCA ortholog_one2one 100.0000 NA NA NA NA NA NA 15444 15444 3208 3208
ENSMOCG00000016073 1737.051691 0.2713706 0.0436688 0.0000000 0.0000000 101980898 Brinp1 protein_coding 101980898 Brinp1 ENSMUSG00000028351 Brinp1 ortholog_one2one 99.4737 ENSG00000078725 BRINP1 ortholog_one2one 98.8158 NA NA NA NA NA NA 56710 56710 1620 1620
ENSMOCG00000009746 261.317224 -0.3380505 0.0563111 0.0000000 0.0000000 NA Arhgef1 protein_coding NA Arhgef1 ENSMUSG00000040940 Arhgef1 ortholog_one2one 91.8033 ENSG00000076928 ARHGEF1 ortholog_one2one 88.0874 NA NA NA NA NA NA 16801 16801 9138 9138
ENSMOCG00000009230 71.273484 -0.6592225 0.1086934 0.0000000 0.0000000 101986480 Gjb1 protein_coding 101986480 Gjb1 ENSMUSG00000047797 Gjb1 ortholog_one2one 97.5265 ENSG00000169562 GJB1 ortholog_one2one 97.5265 NA NA NA NA NA NA 14618 14618 2705 2705
ENSMOCG00000010349 17.801133 -5.0340975 0.7893817 0.0000000 0.0000000 101979077 protein_coding 101979077 ENSMUSG00000060743 H3f3a ortholog_one2one 96.3235 ENSG00000132475 H3-3B ortholog_one2many 96.3235 ENSMUSG00000060743, ENSMUSG00000060743 H3f3a, H3f3a 96.3235, 96.3235 ENSG00000132475, ENSG00000188375 H3-3B, H3-5 96.3235, 89.7059 15078 15078 3021 3021
ENSMOCG00000017839 211.622729 -0.6444556 0.1074146 0.0000000 0.0000000 101982560 Ace protein_coding 101982560 Ace ENSMUSG00000020681 Ace ortholog_one2one 88.9482 ENSG00000159640 ACE ortholog_one2one 83.0793 NA NA NA NA NA NA 11421 11421 1636 1636
ENSMOCG00000016899 1207.345043 0.2959254 0.0486925 0.0000000 0.0000000 101995277 Cobl protein_coding 101995277 Cobl ENSMUSG00000020173 Cobl ortholog_one2one 82.2521 ENSG00000106078 COBL ortholog_one2one 63.6838 NA NA NA NA NA NA 12808 12808 23242 23242
ENSMOCG00000001119 59.147890 -0.6304867 0.1059307 0.0000000 0.0000000 NA Igsf10 protein_coding NA Igsf10 ENSMUSG00000036334 Igsf10 ortholog_one2one 74.4788 ENSG00000152580 IGSF10 ortholog_one2one 65.5598 NA NA NA NA NA NA 242050 242050 285313 285313
ENSMOCG00000011126 3066.773663 0.3694112 0.0633408 0.0000000 0.0000000 101994931 Scn4b protein_coding 101994931 Scn4b ENSMUSG00000046480 Scn4b ortholog_one2one 91.2281 ENSG00000177098 SCN4B ortholog_one2one 83.3333 NA NA NA NA NA NA 399548 399548 6330 6330
ENSMOCG00000002012 132.327081 -0.3875227 0.0670010 0.0000000 0.0000000 101986831 Efs protein_coding 101986831 Efs ENSMUSG00000022203 Efs ortholog_one2one 89.9267 ENSG00000100842 EFS ortholog_one2one 82.6007 NA NA NA NA NA NA 13644 13644 10278 10278
ENSMOCG00000012564 182.075773 0.6009579 0.1023754 0.0000000 0.0000000 101996484 Stra6 protein_coding 101996484 Stra6 ENSMUSG00000032327 Stra6 ortholog_one2one 86.4179 ENSG00000137868 STRA6 ortholog_one2one 74.7761 NA NA NA NA NA NA 20897 20897 64220 64220
ENSMOCG00000012867 5408.709088 0.2585678 0.0422068 0.0000000 0.0000000 101998640 Ppp3r1 protein_coding 101998640 Ppp3r1 ENSMUSG00000033953 Ppp3r1 ortholog_one2one 100.0000 ENSG00000221823 PPP3R1 ortholog_one2one 100.0000 NA NA NA NA NA NA 19058 19058 5534 5534
ENSMOCG00000016264 33.095341 -0.9356930 0.1573726 0.0000000 0.0000000 101990774 Stac protein_coding 101990774 Stac ENSMUSG00000032502 Stac ortholog_one2one 93.6118 ENSG00000144681 STAC ortholog_one2one 82.8010 NA NA NA NA NA NA 20840 20840 6769 6769
ENSMOCG00000005300 745.047485 0.3232968 0.0547005 0.0000000 0.0000000 101981917 Pfkfb3 protein_coding 101981917 Pfkfb3 ENSMUSG00000026773 Pfkfb3 ortholog_one2one 98.0180 ENSG00000170525 PFKFB3 ortholog_one2one 89.0090 NA NA NA NA NA NA 170768 170768 5209 5209
ENSMOCG00000007453 298.778808 0.3712162 0.0646038 0.0000000 0.0000000 101994527 Cntn3 protein_coding 101994527 Cntn3 ENSMUSG00000030075 Cntn3 ortholog_one2one 96.0117 ENSG00000113805 CNTN3 ortholog_one2one 91.9261 NA NA NA NA NA NA 18488 18488 5067 5067
ENSMOCG00000021879 49.097929 -0.5888345 0.1018744 0.0000000 0.0000000 101999714 Ddit4l protein_coding 101999714 Ddit4l ENSMUSG00000046818 Ddit4l ortholog_one2one 96.8912 ENSG00000145358 DDIT4L ortholog_one2one 94.8186 NA NA NA NA NA NA 73284 73284 115265 115265
ENSMOCG00000013868 55.267358 -0.7436242 0.1241140 0.0000000 0.0000000 101998355 Tnfrsf1a protein_coding 101998355 Tnfrsf1a ENSMUSG00000030341 Tnfrsf1a ortholog_one2one 70.7965 ENSG00000067182 TNFRSF1A ortholog_one2one 60.1770 NA NA NA NA NA NA 21937 21937 7132 7132
ENSMOCG00000013163 1413.883475 0.2540315 0.0417662 0.0000000 0.0000000 101984531, 102002811 , protein_coding 101984531 ENSMUSG00000006057 Atp5g1 ortholog_one2many 94.9640 NA NA NA NA NA NA NA 11951 11951 NA NA
ENSMOCG00000017595 538.109436 0.2894597 0.0484585 0.0000000 0.0000000 101989545 Slc7a8 protein_coding 101989545 Slc7a8 ENSMUSG00000022180 Slc7a8 ortholog_one2one 94.7664 ENSG00000092068 SLC7A8 ortholog_one2one 92.5234 NA NA NA NA NA NA 50934 50934 23428 23428
ENSMOCG00000011500 1570.056024 0.2620988 0.0434128 0.0000000 0.0000000 101980003 Ets2 protein_coding 101980003 Ets2 ENSMUSG00000022895 Ets2 ortholog_one2one 93.4043 ENSG00000157557 ETS2 ortholog_one2one 92.1277 NA NA NA NA NA NA 23872 23872 2114 2114
ENSMOCG00000016967 192.208601 0.3545281 0.0617309 0.0000000 0.0000000 NA Tbc1d4 protein_coding NA Tbc1d4 ENSMUSG00000033083 Tbc1d4 ortholog_one2one 93.1212 ENSG00000136111 TBC1D4 ortholog_one2one 88.0481 NA NA NA NA NA NA 210789 210789 9882 9882
ENSMOCG00000011364 1503.982192 0.2753854 0.0460775 0.0000000 0.0000000 101979529 Fat3 protein_coding 101979529 Fat3 ENSMUSG00000074505 Fat3 ortholog_one2one 95.8865 ENSG00000165323 FAT3 ortholog_one2one 92.8729 NA NA NA NA NA NA 270120 270120 120114 120114
ENSMOCG00000014648 17.864312 -1.5056239 0.2872870 0.0000000 0.0000000 101985031 protein_coding 101985031 ENSMUSG00000074264 Amy1 ortholog_one2many 86.1057 NA NA NA NA NA NA NA 11722 11722 NA NA
ENSMOCG00000016548 261.972997 -0.9050391 0.1547220 0.0000000 0.0000000 101995262 Cd83 protein_coding 101995262 Cd83 ENSMUSG00000015396 Cd83 ortholog_one2one 86.7347 ENSG00000112149 CD83 ortholog_one2one 68.8775 NA NA NA NA NA NA 12522 12522 9308 9308
ENSMOCG00000015575 2734.365857 0.2854782 0.0483842 0.0000000 0.0000000 NA Lmo7 protein_coding NA Lmo7 ENSMUSG00000033060 Lmo7 ortholog_one2one 83.0508 ENSG00000136153 LMO7 ortholog_one2one 74.0503 NA NA NA NA NA NA 380928 380928 4008 4008
ENSMOCG00000008599 96.695055 -0.5911504 0.1046852 0.0000000 0.0000000 101996718, 101997005 , protein_coding 101996718 ENSMUSG00000044816 D630023F18Rik ortholog_one2one 46.7290 ENSG00000188674 C2orf80 ortholog_one2one 32.2430 NA NA NA NA NA NA 98303 98303 389073 389073
ENSMOCG00000011415 33.284381 0.9837743 0.1716039 0.0000000 0.0000000 101988352 Itgax protein_coding 101988352 Itgax ENSMUSG00000030789 Itgax ortholog_one2one 79.8801 ENSG00000140678 ITGAX ortholog_one2one 71.4897 NA NA NA NA NA NA 16411 16411 3687 3687
ENSMOCG00000012699 1047.302645 -0.5881050 0.1044499 0.0000000 0.0000000 101992060 Podxl2 protein_coding 101992060 Podxl2 ENSMUSG00000033152 Podxl2 ortholog_one2one 90.2730 ENSG00000114631 PODXL2 ortholog_one2one 76.4505 NA NA NA NA NA NA 319655 319655 50512 50512
ENSMOCG00000022040 130.741589 -0.5824898 0.1037074 0.0000000 0.0000000 101983060 Galnt6 protein_coding 101983060 Galnt6 ENSMUSG00000037280 Galnt6 ortholog_one2one 92.6164 ENSG00000139629 GALNT6 ortholog_one2one 88.4430 NA NA NA NA NA NA 207839 207839 11226 11226
ENSMOCG00000021517 54.335103 -0.6966189 0.1202844 0.0000000 0.0000000 101986115 Enpp6 protein_coding 101986115 Enpp6 ENSMUSG00000038173 Enpp6 ortholog_one2one 91.5909 ENSG00000164303 ENPP6 ortholog_one2one 88.8636 NA NA NA NA NA NA 320981 320981 133121 133121
ENSMOCG00000022680 2166.359702 0.3493385 0.0620487 0.0000000 0.0000000 102000203 Pdyn protein_coding 102000203 Pdyn ENSMUSG00000027400 Pdyn ortholog_one2one 79.6000 ENSG00000101327 PDYN ortholog_one2one 65.2000 NA NA NA NA NA NA 18610 18610 5173 5173
ENSMOCG00000012422 330.299165 -0.6780413 0.1184199 0.0000000 0.0000000 101988412 Camk2n2 protein_coding 101988412 Camk2n2 ENSMUSG00000051146 Camk2n2 ortholog_one2one 100.0000 ENSG00000163888 CAMK2N2 ortholog_one2one 98.7342 NA NA NA NA NA NA 73047 73047 94032 94032
ENSMOCG00000006596 2253.956961 0.2592783 0.0441113 0.0000000 0.0000000 101998452 Kcnab1 protein_coding 101998452 Kcnab1 ENSMUSG00000027827 Kcnab1 ortholog_one2one 84.0399 ENSG00000169282 KCNAB1 ortholog_one2one 83.7905 NA NA NA NA NA NA 16497 16497 7881 7881
ENSMOCG00000017767 33.532471 -0.9229370 0.1618168 0.0000000 0.0000000 101982983 Nr2f2 protein_coding 101982983 Nr2f2 ENSMUSG00000030551 Nr2f2 ortholog_one2one 100.0000 ENSG00000185551 NR2F2 ortholog_one2one 100.0000 NA NA NA NA NA NA 11819 11819 7026 7026
ENSMOCG00000016145 116.403793 -0.3855859 0.0704209 0.0000000 0.0000000 101989311 Cd82 protein_coding 101989311 Cd82 ENSMUSG00000027215 Cd82 ortholog_one2one 79.8507 ENSG00000085117 CD82 ortholog_one2one 76.8657 NA NA NA NA NA NA 12521 12521 3732 3732
ENSMOCG00000006187 246.000714 -0.7027129 0.1229596 0.0000000 0.0000000 101996683 Cacna1g protein_coding 101996683 Cacna1g ENSMUSG00000020866 Cacna1g ortholog_one2one 97.8992 ENSG00000006283 CACNA1G ortholog_one2one 94.7899 NA NA NA NA NA NA 12291 12291 8913 8913
ENSMOCG00000020434 289.838559 -0.5549259 0.1014228 0.0000000 0.0000000 101991670 Ramp1 protein_coding 101991670 Ramp1 ENSMUSG00000034353 Ramp1 ortholog_one2one 80.4054 ENSG00000132329 RAMP1 ortholog_one2one 62.8378 NA NA NA NA NA NA 51801 51801 10267 10267
ENSMOCG00000000360 7.340280 -5.5896997 0.9281698 0.0000000 0.0000000 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000012140 468.143739 0.2583532 0.0442338 0.0000000 0.0000000 101999297 Hecw2 protein_coding 101999297 Hecw2 ENSMUSG00000042807 Hecw2 ortholog_one2one 95.8333 ENSG00000138411 HECW2 ortholog_one2one 94.1288 NA NA NA NA NA NA 329152 329152 57520 57520
ENSMOCG00000000574 1188.516796 0.2793613 0.0485618 0.0000000 0.0000000 101984417 Actn2 protein_coding 101984417 Actn2 ENSMUSG00000052374 Actn2 ortholog_one2one 99.6644 ENSG00000077522 ACTN2 ortholog_one2one 99.1051 NA NA NA NA NA NA 11472 11472 88 88
ENSMOCG00000019160 198.274561 -0.3861424 0.0713739 0.0000000 0.0000000 101982388 Lrrc24 protein_coding 101982388 Lrrc24 ENSMUSG00000033707 Lrrc24 ortholog_one2one 94.4231 ENSG00000254402 LRRC24 ortholog_one2one 83.0769 NA NA NA NA NA NA 378937 378937 441381 441381
ENSMOCG00000009867 492.598346 -0.7445033 0.1313471 0.0000000 0.0000000 101979639 Mrap2 protein_coding 101979639 Mrap2 ENSMUSG00000042761 Mrap2 ortholog_one2one 90.3846 ENSG00000135324 MRAP2 ortholog_one2one 87.0192 NA NA NA NA NA NA 244958 244958 112609 112609
ENSMOCG00000014606 162.707309 -0.6118670 0.1112545 0.0000000 0.0000000 101996066 Tox2 protein_coding 101996066 Tox2 ENSMUSG00000074607 Tox2 ortholog_one2one 93.1034 ENSG00000124191 TOX2 ortholog_one2one 83.9080 NA NA NA NA NA NA 269389 269389 84969 84969
ENSMOCG00000012292 693.347684 -0.5030104 0.0945004 0.0000000 0.0000000 101984825 Slc6a9 protein_coding 101984825 Slc6a9 ENSMUSG00000028542 Slc6a9 ortholog_one2one 95.9248 ENSG00000196517 SLC6A9 ortholog_one2one 94.5141 NA NA NA NA NA NA 14664 14664 6536 6536
ENSMOCG00000022673 198.374348 -0.2738668 0.0476653 0.0000000 0.0000000 102000749 Gtf2ird2 protein_coding 102000749 Gtf2ird2 ENSMUSG00000015942 Gtf2ird2 ortholog_one2one 86.5736 ENSG00000174428 GTF2IRD2B ortholog_one2many 79.1622 ENSMUSG00000015942, ENSMUSG00000015942 Gtf2ird2, Gtf2ird2 86.5736, 86.5736 ENSG00000174428, ENSG00000196275 GTF2IRD2B, GTF2IRD2 79.1622, 78.9474 114674 114674 389524 389524
ENSMOCG00000010337 41.204043 -5.8087576 0.9750413 0.0000000 0.0000000 NA protein_coding NA NA ENSG00000111640 GAPDH ortholog_one2many 74.7253 NA NA NA NA NA NA NA NA 2597 2597
ENSMOCG00000020972 14.428405 -1.2441711 0.2405523 0.0000000 0.0000000 101985696 Slc22a4 protein_coding 101985696 Slc22a4 ENSMUSG00000020334 Slc22a4 ortholog_one2one 94.3942 ENSG00000197208 SLC22A4 ortholog_one2one 85.5335 NA NA NA NA NA NA 30805 30805 6583 6583
ENSMOCG00000016179 438.380749 0.5658109 0.1048483 0.0000000 0.0000000 102000296 Rbp1 protein_coding 102000296 Rbp1 ENSMUSG00000046402 Rbp1 ortholog_one2one 98.5185 ENSG00000114115 RBP1 ortholog_one2one 94.8148 NA NA NA NA NA NA 19659 19659 5947 5947
ENSMOCG00000007137 113.916905 -0.5506326 0.1026396 0.0000000 0.0000000 101988217 Phlda3 protein_coding 101988217 Phlda3 ENSMUSG00000041801 Phlda3 ortholog_one2one 100.0000 ENSG00000174307 PHLDA3 ortholog_one2one 100.0000 NA NA NA NA NA NA 27280 27280 23612 23612
ENSMOCG00000003593 375.170680 -0.3472087 0.0633591 0.0000000 0.0000000 102001219 Rtkn protein_coding 102001219 Rtkn ENSMUSG00000034930 Rtkn ortholog_one2one 92.5532 ENSG00000114993 RTKN ortholog_one2one 88.4752 NA NA NA NA NA NA 20166 20166 6242 6242
ENSMOCG00000015405 661.002422 0.3362744 0.0610551 0.0000000 0.0000000 101985463 Tmtc1 protein_coding 101985463 Tmtc1 ENSMUSG00000030306 Tmtc1 ortholog_one2one 92.3567 ENSG00000133687 TMTC1 ortholog_one2one 80.4671 NA NA NA NA NA NA 387314 387314 83857 83857
ENSMOCG00000007791 271.112587 0.3113841 0.0557965 0.0000000 0.0000000 NA protein_coding NA ENSMUSG00000110444 Gm10033 ortholog_one2many 37.4536 NA ENSMUSG00000110444, ENSMUSG00000078877, ENSMUSG00000112160, ENSMUSG00000074165 Gm10033, Gm14295, BC024063, Zfp788 37.4536, 36.5884, 34.9815, 33.869 , , , , , , NA, NA, NA, NA 378466 378466 NA NA
ENSMOCG00000014505 1598.103033 0.2512506 0.0436931 0.0000000 0.0000000 101981956 Wscd2 protein_coding 101981956 Wscd2 ENSMUSG00000063430 Wscd2 ortholog_one2one 95.6217 ENSG00000075035 WSCD2 ortholog_one2one 90.7180 NA NA NA NA NA NA 320916 320916 9671 9671
ENSMOCG00000009993 67.543892 -0.6041915 0.1112717 0.0000000 0.0000000 101999593 Esyt1 protein_coding 101999593 Esyt1 ENSMUSG00000025366 Esyt1 ortholog_one2one 93.2904 ENSG00000139641 ESYT1 ortholog_one2one 87.6838 NA NA NA NA NA NA 23943 23943 23344 23344
ENSMOCG00000001256 1227.043738 0.3270411 0.0592457 0.0000000 0.0000000 101991267 Scmh1 protein_coding 101991267 Scmh1 ENSMUSG00000000085 Scmh1 ortholog_one2one 94.7289 ENSG00000010803 SCMH1 ortholog_one2one 89.7590 NA NA NA NA NA NA 29871 29871 22955 22955
ENSMOCG00000015853 1380.667369 0.3963736 0.0746246 0.0000000 0.0000000 NA Mctp1 protein_coding NA Mctp1 ENSMUSG00000021596 Mctp1 ortholog_one2one 95.8213 ENSG00000175471 MCTP1 ortholog_one2one 95.8213 NA NA NA NA NA NA 78771 78771 79772 79772
ENSMOCG00000015323 12.047898 1.1075983 0.2090772 0.0000000 0.0000000 NA Sun3 protein_coding NA Sun3 ENSMUSG00000040985 Sun3 ortholog_one2one 84.6875 ENSG00000164744 SUN3 ortholog_one2one 75.9375 NA NA NA NA NA NA 194974 194974 256979 256979
ENSMOCG00000022144 11286.688063 0.2551559 0.0446152 0.0000000 0.0000000 101996959 Sez6 protein_coding 101996959 Sez6 ENSMUSG00000000632 Sez6 ortholog_one2one 95.2716 ENSG00000063015 SEZ6 ortholog_one2one 90.8451 NA NA NA NA NA NA 20370 20370 124925 124925
ENSMOCG00000012749 1228.211270 -0.3523047 0.0650752 0.0000000 0.0000000 101984924 Lypd1 protein_coding 101984924 Lypd1 ENSMUSG00000026344 Lypd1 ortholog_one2one 97.1631 ENSG00000150551 LYPD1 ortholog_one2one 92.9078 NA NA NA NA NA NA 72585 72585 116372 116372
ENSMOCG00000002894 5915.352503 0.2608737 0.0457294 0.0000000 0.0000000 101994884 Cpne5 protein_coding 101994884 Cpne5 ENSMUSG00000024008 Cpne5 ortholog_one2one 98.9882 ENSG00000124772 CPNE5 ortholog_one2one 97.8078 NA NA NA NA NA NA 240058 240058 57699 57699
ENSMOCG00000016990 8882.232356 0.2849961 0.0505924 0.0000000 0.0000000 101986297 Gng7 protein_coding 101986297 Gng7 ENSMUSG00000048240 Gng7 ortholog_one2one 94.2029 ENSG00000176533 GNG7 ortholog_one2one 89.8551 NA NA NA NA NA NA 14708 14708 2788 2788
ENSMOCG00000018512 139.220974 -0.6717147 0.1222209 0.0000000 0.0000000 101983969 Scn5a protein_coding 101983969 Scn5a ENSMUSG00000032511 Scn5a ortholog_one2one 97.5743 ENSG00000183873 SCN5A ortholog_one2one 93.3663 NA NA NA NA NA NA 20271 20271 6331 6331
ENSMOCG00000022095 161.375458 -0.9958760 0.1837971 0.0000000 0.0000000 101987275 Fibcd1 protein_coding 101987275 Fibcd1 ENSMUSG00000026841 Fibcd1 ortholog_one2one 96.5142 ENSG00000130720 FIBCD1 ortholog_one2one 91.9390 NA NA NA NA NA NA 98970 98970 84929 84929
ENSMOCG00000013309 628.331601 -1.0060964 0.1861487 0.0000000 0.0000000 101996577 Baiap3 protein_coding 101996577 Baiap3 ENSMUSG00000047507 Baiap3 ortholog_one2one 95.5652 ENSG00000007516 BAIAP3 ortholog_one2one 88.1739 NA NA NA NA NA NA 545192 545192 8938 8938
ENSMOCG00000021772 72.009051 0.7294098 0.1317787 0.0000000 0.0000000 101999311 Zkscan7 protein_coding 101999311 Zkscan7 ENSMUSG00000063488 Zkscan7 ortholog_one2one 71.6570 ENSG00000196345 ZKSCAN7 ortholog_one2one 71.0756 NA NA NA NA NA NA 382118 382118 55888 55888
ENSMOCG00000022711 156.746240 0.3262319 0.0598515 0.0000000 0.0000000 102000236 Ska2 protein_coding 102000236 Ska2 ENSMUSG00000020492 Ska2 ortholog_one2one 84.2975 ENSG00000182628 SKA2 ortholog_one2one 78.5124 NA NA NA NA NA NA 66140 66140 348235 348235
ENSMOCG00000014147 926.612809 0.4426620 0.0855483 0.0000000 0.0000000 101986098 protein_coding 101986098 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000007442 371.125212 0.4282405 0.0826671 0.0000000 0.0000001 NA protein_coding NA ENSMUSG00000060036 Rpl3 ortholog_one2many 96.5261 ENSG00000100316 RPL3 ortholog_one2many 95.7816 NA NA NA NA NA NA 27367 27367 6122 6122
ENSMOCG00000006224 1190.096128 0.2759595 0.0494416 0.0000000 0.0000001 101995117 Smpd3 protein_coding 101995117 Smpd3 ENSMUSG00000031906 Smpd3 ortholog_one2one 97.0992 ENSG00000103056 SMPD3 ortholog_one2one 90.8397 NA NA NA NA NA NA 58994 58994 55512 55512
ENSMOCG00000019929 74.928745 0.4154156 0.0804645 0.0000000 0.0000001 101998815 protein_coding 101998815 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000019054 198.024295 -0.3522848 0.0664593 0.0000000 0.0000001 101987733 Nkd1 protein_coding 101987733 Nkd1 ENSMUSG00000031661 Nkd1 ortholog_one2one 96.1783 ENSG00000140807 NKD1 ortholog_one2one 86.8365 NA NA NA NA NA NA 93960 93960 85407 85407
ENSMOCG00000017305 482.096269 -0.2725327 0.0490129 0.0000000 0.0000001 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000016799 193.582079 0.2772707 0.0500012 0.0000000 0.0000001 101983572 Dcp1b protein_coding 101983572 Dcp1b ENSMUSG00000041477 Dcp1b ortholog_one2one 83.1346 ENSG00000151065 DCP1B ortholog_one2one 67.4617 NA NA NA NA NA NA 319618 319618 196513 196513
ENSMOCG00000019544 1342.765209 0.3190760 0.0590282 0.0000000 0.0000001 101979982 Tiam2 protein_coding 101979982 Tiam2 ENSMUSG00000023800 Tiam2 ortholog_one2one 90.8033 ENSG00000146426 TIAM2 ortholog_one2one 85.1572 NA NA NA NA NA NA 24001 24001 26230 26230
ENSMOCG00000019271 178.566982 0.3078914 0.0567445 0.0000000 0.0000001 101997718 Kics2 protein_coding 101997718 Kics2 ENSMUSG00000053684 Kics2 ortholog_one2one 98.4270 ENSG00000174206 KICS2 ortholog_one2one 95.0562 NA NA NA NA NA NA 270802 270802 144577 144577
ENSMOCG00000015368 289.424209 0.3536907 0.0673307 0.0000000 0.0000001 102002763 Erap1 protein_coding 102002763 Erap1 ENSMUSG00000021583 Erap1 ortholog_one2one 89.3730 ENSG00000164307 ERAP1 ortholog_one2one 85.5473 NA NA NA NA NA NA 80898 80898 51752 51752
ENSMOCG00000014110 605.946280 0.2826418 0.0515417 0.0000000 0.0000001 102000541 Cdkl5 protein_coding 102000541 Cdkl5 ENSMUSG00000031292 Cdkl5 ortholog_one2one 97.7083 ENSG00000008086 CDKL5 ortholog_one2one 95.7292 NA NA NA NA NA NA 382253 382253 6792 6792
ENSMOCG00000016979 345.632366 0.5165886 0.1017018 0.0000000 0.0000001 NA Tead4 protein_coding NA Tead4 ENSMUSG00000030353 Tead4 ortholog_one2one 95.7845 ENSG00000197905 TEAD4 ortholog_one2one 94.1452 NA NA NA NA NA NA 21679 21679 7004 7004
ENSMOCG00000006707 445.856247 0.3582856 0.0687978 0.0000000 0.0000001 101979655 Dgkh protein_coding 101979655 Dgkh ENSMUSG00000034731 Dgkh ortholog_one2one 94.1227 ENSG00000102780 DGKH ortholog_one2one 91.5298 NA NA NA NA NA NA 380921 380921 160851 160851
ENSMOCG00000022557 757.954751 -0.3776990 0.0735078 0.0000000 0.0000001 101984242 Tppp3 protein_coding 101984242 Tppp3 ENSMUSG00000014846 Tppp3 ortholog_one2one 98.2955 ENSG00000159713 TPPP3 ortholog_one2one 97.1591 NA NA NA NA NA NA 67971 67971 51673 51673
ENSMOCG00000017811 2981.585915 0.3173351 0.0595615 0.0000000 0.0000001 101989677 Aqp4 protein_coding 101989677 Aqp4 ENSMUSG00000024411 Aqp4 ortholog_one2one 89.4737 ENSG00000171885 AQP4 ortholog_one2one 93.8081 NA NA NA NA NA NA 11829 11829 361 361
ENSMOCG00000015958 17.648112 -1.5040059 0.3201725 0.0000000 0.0000001 102002832 Epn3 protein_coding 102002832 Epn3 ENSMUSG00000010080 Epn3 ortholog_one2one 93.9873 ENSG00000049283 EPN3 ortholog_one2one 86.2342 NA NA NA NA NA NA 71889 71889 55040 55040
ENSMOCG00000021903 833.838065 -0.4218273 0.0837807 0.0000000 0.0000001 102002656 Lgi3 protein_coding 102002656 Lgi3 ENSMUSG00000033595 Lgi3 ortholog_one2one 98.7085 ENSG00000168481 LGI3 ortholog_one2one 96.1255 NA NA NA NA NA NA 213469 213469 203190 203190
ENSMOCG00000018923 15519.563666 0.2669182 0.0487122 0.0000000 0.0000001 101983857 Ppp1r1b protein_coding 101983857 Ppp1r1b ENSMUSG00000061718 Ppp1r1b ortholog_one2one 89.2683 ENSG00000131771 PPP1R1B ortholog_one2one 86.8293 NA NA NA NA NA NA 19049 19049 84152 84152
ENSMOCG00000006609 1516.195294 -0.5675943 0.1111483 0.0000000 0.0000001 101984712 protein_coding 101984712 ENSMUSG00000032553 Srprb ortholog_one2one 27.6619 ENSG00000144867 SRPRB ortholog_one2one 26.3447 NA NA NA NA NA NA 20818 20818 58477 58477
ENSMOCG00000019423 20.591628 -1.3395976 0.2811631 0.0000000 0.0000001 101994299 Gpc3 protein_coding 101994299 Gpc3 ENSMUSG00000055653 Gpc3 ortholog_one2one 96.2003 ENSG00000147257 GPC3 ortholog_one2one 92.2280 NA NA NA NA NA NA 14734 14734 2719 2719
ENSMOCG00000008843 19.167354 -1.7573455 0.3775183 0.0000000 0.0000001 101987276 Shh protein_coding 101987276 Shh ENSMUSG00000002633 Shh ortholog_one2one 94.1043 ENSG00000164690 SHH ortholog_one2one 92.7438 NA NA NA NA NA NA 20423 20423 6469 6469
ENSMOCG00000021402 203.259697 -0.8118129 0.1517108 0.0000000 0.0000001 101999346 Slc6a7 protein_coding 101999346 Slc6a7 ENSMUSG00000052026 Slc6a7 ortholog_one2one 98.9011 ENSG00000011083 SLC6A7 ortholog_one2one 97.4882 NA NA NA NA NA NA 240332 240332 6534 6534
ENSMOCG00000018911 710.540690 0.2581257 0.0471343 0.0000000 0.0000001 101987700 Kitl protein_coding 101987700 Kitl ENSMUSG00000019966 Kitl ortholog_one2one 94.5256 ENSG00000049130 KITLG ortholog_one2one 81.7518 NA NA NA NA NA NA 17311 17311 4254 4254
ENSMOCG00000003694 90.904018 -1.3458420 0.2840124 0.0000000 0.0000001 101999900 Gpr165 protein_coding 101999900 Gpr165 ENSMUSG00000031210 Gpr165 ortholog_one2one 81.2775 NA NA NA NA NA NA NA 76206 76206 NA NA
ENSMOCG00000011720 71.786360 -0.6736692 0.1286141 0.0000000 0.0000001 101998369 Tmem200c protein_coding 101998369 Tmem200c ENSMUSG00000095407 Tmem200c ortholog_one2one 86.6878 ENSG00000206432 TMEM200C ortholog_one2one 76.0697 NA NA NA NA NA NA 622645 622645 645369 645369
ENSMOCG00000010401 393.462846 0.6631320 0.1270033 0.0000000 0.0000001 101997328 Sncg protein_coding 101997328 Sncg ENSMUSG00000023064 Sncg ortholog_one2one 75.3425 ENSG00000173267 SNCG ortholog_one2one 68.4931 NA NA NA NA NA NA 20618 20618 6623 6623
ENSMOCG00000003322 53.907629 -0.8680988 0.1639041 0.0000000 0.0000001 101983916 Tmem215 protein_coding 101983916 Tmem215 ENSMUSG00000046593 Tmem215 ortholog_one2one 96.9697 ENSG00000188133 TMEM215 ortholog_one2one 92.6407 NA NA NA NA NA NA 320500 320500 401498 401498
ENSMOCG00000006613 775.537246 0.2557370 0.0469049 0.0000000 0.0000001 101984355 Cnst protein_coding 101984355 Cnst ENSMUSG00000038949 Cnst ortholog_one2one 76.9663 ENSG00000162852 CNST ortholog_one2one 69.8034 NA NA NA NA NA NA 226744 226744 163882 163882
ENSMOCG00000012807 136.134705 -0.9824051 0.1903311 0.0000000 0.0000002 102001529 Prelp protein_coding 102001529 Prelp ENSMUSG00000041577 Prelp ortholog_one2one 94.4882 ENSG00000188783 PRELP ortholog_one2one 90.2887 NA NA NA NA NA NA 116847 116847 5549 5549
ENSMOCG00000014434 597.282759 -0.4180142 0.0842926 0.0000000 0.0000002 102001154 Myrf protein_coding 102001154 Myrf ENSMUSG00000036098 Myrf ortholog_one2one 95.2632 ENSG00000124920 MYRF ortholog_one2one 90.4386 NA NA NA NA NA NA 225908 225908 745 745
ENSMOCG00000015234 620.776600 0.2791738 0.0521005 0.0000000 0.0000002 101993094 Adgra3 protein_coding 101993094 Adgra3 ENSMUSG00000029090 Adgra3 ortholog_one2one 95.7919 ENSG00000152990 ADGRA3 ortholog_one2one 92.8845 NA NA NA NA NA NA 70693 70693 166647 166647
ENSMOCG00000012236 388.904955 0.2667163 0.0495701 0.0000000 0.0000002 NA protein_coding NA ENSMUSG00000056121 Fez2 ortholog_one2one 87.9397 ENSG00000171055 FEZ2 ortholog_one2one 87.9397 NA NA NA NA NA NA 225020 225020 9637 9637
ENSMOCG00000009288 463.158581 0.2587768 0.0479764 0.0000000 0.0000002 101989022 Ubxn2b protein_coding 101989022 Ubxn2b ENSMUSG00000028243 Ubxn2b ortholog_one2one 87.0091 ENSG00000215114 UBXN2B ortholog_one2one 85.8006 NA NA NA NA NA NA 68053 68053 137886 137886
ENSMOCG00000019437 668.671339 -0.3852195 0.0773172 0.0000000 0.0000002 101993166 Mog protein_coding 101993166 Mog ENSMUSG00000076439 Mog ortholog_one2one 91.8367 ENSG00000204655 MOG ortholog_one2one 86.9388 NA NA NA NA NA NA 17441 17441 4340 4340
ENSMOCG00000008345 104.383257 -0.5568709 0.1124821 0.0000000 0.0000002 101992233 Dnai1 protein_coding 101992233 Dnai1 ENSMUSG00000061322 Dnai1 ortholog_one2one 95.2518 ENSG00000122735 DNAI1 ortholog_one2one 88.0576 NA NA NA NA NA NA 68922 68922 27019 27019
ENSMOCG00000012164 1225.347600 0.2940683 0.0560112 0.0000000 0.0000002 101980913 Rps6ka3 protein_coding 101980913 Rps6ka3 ENSMUSG00000031309 Rps6ka3 ortholog_one2one 100.0000 ENSG00000177189 RPS6KA3 ortholog_one2one 99.8649 NA NA NA NA NA NA 110651 110651 6197 6197
ENSMOCG00000005385 59.312482 -0.9079760 0.1764038 0.0000000 0.0000002 101983301 Chrm3 protein_coding 101983301 Chrm3 ENSMUSG00000046159 Chrm3 ortholog_one2one 96.4286 ENSG00000133019 CHRM3 ortholog_one2one 92.8571 NA NA NA NA NA NA 12671 12671 1131 1131
ENSMOCG00000012323 28.488895 -0.8195699 0.1578126 0.0000000 0.0000002 101994218 Col6a3 protein_coding 101994218 Col6a3 ENSMUSG00000048126 Col6a3 ortholog_one2one 89.2923 ENSG00000163359 COL6A3 ortholog_one2one 80.4759 NA NA NA NA NA NA 12835 12835 1293 1293
ENSMOCG00000014271 42.734951 -0.8477129 0.1635237 0.0000000 0.0000002 101985467 Ttll3 protein_coding 101985467 Ttll3 ENSMUSG00000030276 Ttll3 ortholog_one2one 85.3420 ENSG00000214021 TTLL3 ortholog_one2one 63.4093 NA NA NA NA NA NA 101100 101100 26140 26140
ENSMOCG00000002247 7103.875513 0.2656073 0.0499708 0.0000000 0.0000002 101999471 Itpr1 protein_coding 101999471 Itpr1 ENSMUSG00000030102 Itpr1 ortholog_one2one 99.3452 ENSG00000150995 ITPR1 ortholog_one2one 98.5085 NA NA NA NA NA NA 16438 16438 3708 3708
ENSMOCG00000018421 15.499574 -1.1156969 0.2294320 0.0000000 0.0000002 101987007 Prss50 protein_coding 101987007 Prss50 ENSMUSG00000048752 Prss50 ortholog_one2one 76.6509 ENSG00000283706 PRSS50 ortholog_one2one 57.3113 NA NA NA NA NA NA 235631 235631 29122 29122
ENSMOCG00000000568 481.768963 0.2779110 0.0528422 0.0000000 0.0000003 101987397 Ust protein_coding 101987397 Ust ENSMUSG00000047712 Ust ortholog_one2one 97.5490 ENSG00000111962 UST ortholog_one2one 95.8333 NA NA NA NA NA NA 338362 338362 10090 10090
ENSMOCG00000001184 1579.521538 0.2586141 0.0487071 0.0000000 0.0000003 101994160 Dixdc1 protein_coding 101994160 Dixdc1 ENSMUSG00000032064 Dixdc1 ortholog_one2one 95.0365 ENSG00000150764 DIXDC1 ortholog_one2one 93.2847 NA NA NA NA NA NA 330938 330938 85458 85458
ENSMOCG00000009601 258.617767 0.3848314 0.0786103 0.0000000 0.0000003 101999005 Nup210 protein_coding 101999005 Nup210 ENSMUSG00000030091 Nup210 ortholog_one2one 95.0689 ENSG00000132182 NUP210 ortholog_one2one 84.5705 NA NA NA NA NA NA 54563 54563 23225 23225
ENSMOCG00000006489 20.180326 -1.2049870 0.2564422 0.0000000 0.0000003 101990194 Klk8 protein_coding 101990194 Klk8 ENSMUSG00000064023 Klk8 ortholog_one2one 86.1538 ENSG00000129455 KLK8 ortholog_one2one 73.4615 NA NA NA NA NA NA 259277 259277 11202 11202
ENSMOCG00000020037 281.943763 -0.2693419 0.0512005 0.0000000 0.0000003 101979922 Mcam protein_coding 101979922 Mcam ENSMUSG00000032135 Mcam ortholog_one2one 87.3652 ENSG00000076706 MCAM ortholog_one2one 77.0416 NA NA NA NA NA NA 84004 84004 4162 4162
ENSMOCG00000002975 130.326509 -0.4122320 0.0855572 0.0000000 0.0000003 102000546 Unc5b protein_coding 102000546 Unc5b ENSMUSG00000020099 Unc5b ortholog_one2one 95.1374 ENSG00000107731 UNC5B ortholog_one2one 93.0233 NA NA NA NA NA NA 107449 107449 219699 219699
ENSMOCG00000006127 437.901046 0.3545674 0.0714812 0.0000000 0.0000003 NA Nin protein_coding NA Nin ENSMUSG00000021068 Nin ortholog_one2one 84.3734 ENSG00000100503 NIN ortholog_one2one 78.4881 NA NA NA NA NA NA 18080 18080 51199 51199
ENSMOCG00000012578 202.061369 -0.4820971 0.1009727 0.0000000 0.0000003 101981897 Adamts4 protein_coding 101981897 Adamts4 ENSMUSG00000006403 Adamts4 ortholog_one2one 94.8317 ENSG00000158859 ADAMTS4 ortholog_one2one 91.7067 NA NA NA NA NA NA 240913 240913 9507 9507
ENSMOCG00000003294 189.131025 0.3439856 0.0689006 0.0000000 0.0000003 101982319 Zfp871 protein_coding 101982319 Zfp871 ENSMUSG00000024298 Zfp871 ortholog_one2one 89.9514 ENSG00000181896 ZNF101 ortholog_one2many 28.8493 NA NA NA NA NA NA 208292 208292 94039 94039
ENSMOCG00000011104 389.389390 0.5824878 0.1191204 0.0000000 0.0000003 101990967 Car12 protein_coding 101990967 Car12 ENSMUSG00000032373 Car12 ortholog_one2one 92.0904 ENSG00000074410 CA12 ortholog_one2one 82.4859 NA NA NA NA NA NA 76459 76459 771 771
ENSMOCG00000002685 523.814567 0.2660493 0.0507316 0.0000000 0.0000003 101988300 Wdr59 protein_coding 101988300 Wdr59 ENSMUSG00000031959 Wdr59 ortholog_one2one 96.7611 ENSG00000103091 WDR59 ortholog_one2one 95.7490 NA NA NA NA NA NA 319481 319481 79726 79726
ENSMOCG00000012600 534.700825 0.2667049 0.0509407 0.0000000 0.0000003 101989661 Arhgef18 protein_coding 101989661 Arhgef18 ENSMUSG00000004568 Arhgef18 ortholog_one2one 88.0671 ENSG00000104880 ARHGEF18 ortholog_one2one 80.6706 NA NA NA NA NA NA 102098 102098 23370 23370
ENSMOCG00000021444 267.051939 -0.4394084 0.0924748 0.0000000 0.0000004 101979888 Xrcc5 protein_coding 101979888 Xrcc5 ENSMUSG00000026187 Xrcc5 ortholog_one2one 78.4461 ENSG00000079246 XRCC5 ortholog_one2one 69.1729 NA NA NA NA NA NA 22596 22596 7520 7520
ENSMOCG00000014932 2271.213962 0.2599378 0.0496018 0.0000000 0.0000004 101985350 Septin11 protein_coding 101985350 Septin11 ENSMUSG00000058013 Septin11 ortholog_one2one 100.0000 ENSG00000138758 SEPTIN11 ortholog_one2one 98.3759 NA NA NA NA NA NA 52398 52398 55752 55752
ENSMOCG00000001148 147.790316 -0.4397014 0.0926553 0.0000000 0.0000004 101987059 Qpct protein_coding 101987059 Qpct ENSMUSG00000024084 Qpct ortholog_one2one 91.4127 ENSG00000115828 QPCT ortholog_one2one 83.1025 NA NA NA NA NA NA 70536 70536 25797 25797
ENSMOCG00000013639 289.178555 0.3111080 0.0614877 0.0000000 0.0000004 106144047 Gabrg3 protein_coding 106144047 Gabrg3 ENSMUSG00000055026 Gabrg3 ortholog_one2one 98.0728 ENSG00000182256 GABRG3 ortholog_one2one 94.6467 NA NA NA NA NA NA 14407 14407 2567 2567
ENSMOCG00000016536 860.702969 0.2960977 0.0580076 0.0000000 0.0000004 101989587 Rims1 protein_coding 101989587 Rims1 ENSMUSG00000041670 Rims1 ortholog_one2one 94.8479 ENSG00000079841 RIMS1 ortholog_one2one 91.5580 NA NA NA NA NA NA 116837 116837 22999 22999
ENSMOCG00000016908 252.728100 0.5814584 0.1207155 0.0000000 0.0000004 101979704 Ak9 protein_coding 101979704 Ak9 ENSMUSG00000091415 Ak9 ortholog_one2one 80.6776 ENSG00000155085 AK9 ortholog_one2one 74.2192 NA NA NA NA NA NA 633979 633979 221264 221264
ENSMOCG00000013478 2376.416350 0.2721375 0.0527661 0.0000000 0.0000005 101999413 Ypel2 protein_coding 101999413 Ypel2 ENSMUSG00000018427 Ypel2 ortholog_one2one 100.0000 ENSG00000175155 YPEL2 ortholog_one2one 100.0000 NA NA NA NA NA NA 77864 77864 388403 388403
ENSMOCG00000001925 362.888921 -0.3025252 0.0598103 0.0000000 0.0000005 101989891 Cdkl1 protein_coding 101989891 Cdkl1 ENSMUSG00000020990 Cdkl1 ortholog_one2one 95.1705 ENSG00000100490 CDKL1 ortholog_one2one 90.3409 NA NA NA NA NA NA 71091 71091 8814 8814
ENSMOCG00000018342 900.931038 -0.4524309 0.0966908 0.0000000 0.0000005 101999818 Bcat1 protein_coding 101999818 Bcat1 ENSMUSG00000030268 Bcat1 ortholog_one2one 86.6962 ENSG00000060982 BCAT1 ortholog_one2one 72.2838 NA NA NA NA NA NA 12035 12035 586 586
ENSMOCG00000005700 1178.107686 0.9461462 0.1921114 0.0000000 0.0000005 NA protein_coding NA NA ENSG00000111640 GAPDH ortholog_one2many 92.1922 NA NA NA NA NA NA NA NA 2597 2597
ENSMOCG00000012337 528.957693 -0.2868082 0.0563483 0.0000000 0.0000005 102002227 Hebp1 protein_coding 102002227 Hebp1 ENSMUSG00000042770 Hebp1 ortholog_one2one 94.7368 ENSG00000013583 HEBP1 ortholog_one2one 88.4211 NA NA NA NA NA NA 15199 15199 50865 50865
ENSMOCG00000010974 85.290160 -0.4705751 0.1009588 0.0000000 0.0000005 101992158 Pcdh18 protein_coding 101992158 Pcdh18 ENSMUSG00000037892 Pcdh18 ortholog_one2one 96.8254 ENSG00000189184 PCDH18 ortholog_one2one 92.8571 NA NA NA NA NA NA 73173 73173 54510 54510
ENSMOCG00000004048 151.901673 -0.6496036 0.1332350 0.0000000 0.0000005 101986244 protein_coding 101986244 ENSMUSG00000027890 Gstm4 ortholog_one2many 91.3043 ENSG00000168765 GSTM4 ortholog_one2many 86.9565 NA NA NA NA NA NA 14865 14865 2948 2948
ENSMOCG00000014116 65.810750 -0.5925024 0.1239120 0.0000000 0.0000005 101993648 Sfrp1 protein_coding 101993648 Sfrp1 ENSMUSG00000031548 Sfrp1 ortholog_one2one 97.1338 ENSG00000104332 SFRP1 ortholog_one2one 94.2675 NA NA NA NA NA NA 20377 20377 6422 6422
ENSMOCG00000016412 435.278265 -0.3781549 0.0795703 0.0000000 0.0000006 102000948 Tmeff2 protein_coding 102000948 Tmeff2 ENSMUSG00000026109 Tmeff2 ortholog_one2one 98.9305 ENSG00000144339 TMEFF2 ortholog_one2one 98.3957 NA NA NA NA NA NA 56363 56363 23671 23671
ENSMOCG00000004134 334.100603 0.2818379 0.0555151 0.0000000 0.0000006 102000470 B3glct protein_coding 102000470 B3glct ENSMUSG00000051950 B3glct ortholog_one2one 89.3661 ENSG00000187676 B3GLCT ortholog_one2one 85.4806 NA NA NA NA NA NA 381694 381694 145173 145173
ENSMOCG00000012468 389.539640 -0.3159836 0.0637344 0.0000000 0.0000006 101983143 Tjp2 protein_coding 101983143 Tjp2 ENSMUSG00000024812 Tjp2 ortholog_one2one 93.7069 ENSG00000119139 TJP2 ortholog_one2one 87.1552 NA NA NA NA NA NA 21873 21873 9414 9414
ENSMOCG00000013021 93.341713 -0.6673671 0.1373571 0.0000000 0.0000006 101989187 Amigo2 protein_coding 101989187 Amigo2 ENSMUSG00000048218 Amigo2 ortholog_one2one 91.8919 ENSG00000139211 AMIGO2 ortholog_one2one 87.6448 NA NA NA NA NA NA 105827 105827 347902 347902
ENSMOCG00000002500 138.867195 -0.5238942 0.1128220 0.0000000 0.0000006 101993402 Klhdc8a protein_coding 101993402 Klhdc8a ENSMUSG00000042115 Klhdc8a ortholog_one2one 98.2857 ENSG00000162873 KLHDC8A ortholog_one2one 96.2857 NA NA NA NA NA NA 213417 213417 55220 55220
ENSMOCG00000012767 251.369889 0.2716380 0.0534682 0.0000000 0.0000006 NA Usp45 protein_coding NA Usp45 ENSMUSG00000040455 Usp45 ortholog_one2one 80.9170 ENSG00000123552 USP45 ortholog_one2one 71.4994 NA NA NA NA NA NA 77593 77593 85015 85015
ENSMOCG00000001513 84.077975 -0.4059890 0.0872506 0.0000000 0.0000007 101988267 C2cd4c protein_coding 101988267 C2cd4c ENSMUSG00000045912 C2cd4c ortholog_one2one 95.9716 ENSG00000183186 C2CD4C ortholog_one2one 90.9953 NA NA NA NA NA NA 237397 237397 126567 126567
ENSMOCG00000008791 126.914385 -0.4655169 0.1015170 0.0000000 0.0000007 101982302 Fbln1 protein_coding 101982302 Fbln1 ENSMUSG00000006369 Fbln1 ortholog_one2one 93.1526 ENSG00000077942 FBLN1 ortholog_one2one 85.8773 NA NA NA NA NA NA 14114 14114 2192 2192
ENSMOCG00000023018 326.242324 -0.2862551 0.0571088 0.0000000 0.0000007 101994312 Fxyd7 protein_coding 101994312 Fxyd7 ENSMUSG00000036578 Fxyd7 ortholog_one2one 96.2500 ENSG00000221946 FXYD7 ortholog_one2one 90.0000 NA NA NA NA NA NA 57780 57780 53822 53822
ENSMOCG00000016983 1543.566894 0.2886597 0.0577426 0.0000000 0.0000007 101978993 Kctd13 protein_coding 101978993 Kctd13 ENSMUSG00000030685 Kctd13 ortholog_one2one 97.2644 ENSG00000174943 KCTD13 ortholog_one2one 95.4407 NA NA NA NA NA NA 233877 233877 253980 253980
ENSMOCG00000001982 115.566400 -0.4376149 0.0955854 0.0000000 0.0000008 101981639 Prkcq protein_coding 101981639 Prkcq ENSMUSG00000026778 Prkcq ortholog_one2one 96.6245 ENSG00000065675 PRKCQ ortholog_one2one 94.7961 NA NA NA NA NA NA 18761 18761 5588 5588
ENSMOCG00000015427 721.162207 0.2864331 0.0577568 0.0000000 0.0000009 101981836 Fzd3 protein_coding 101981836 Fzd3 ENSMUSG00000007989 Fzd3 ortholog_one2one 98.6487 ENSG00000104290 FZD3 ortholog_one2one 97.7477 NA NA NA NA NA NA 14365 14365 7976 7976
ENSMOCG00000022952 20.709951 0.8011486 0.1654732 0.0000000 0.0000009 101997165 Anxa13 protein_coding 101997165 Anxa13 ENSMUSG00000055114 Anxa13 ortholog_one2one 87.8505 ENSG00000104537 ANXA13 ortholog_one2one 84.1122 NA NA NA NA NA NA 69787 69787 312 312
ENSMOCG00000012554 58.130275 1.5027303 0.3614902 0.0000000 0.0000009 NA protein_coding NA ENSMUSG00000054046 Klk13 ortholog_one2one 95.3271 ENSG00000167759 KLK13 ortholog_one2one 82.2430 NA NA NA NA NA NA 626834 626834 26085 26085
ENSMOCG00000019829 156.212162 -0.5185732 0.1140703 0.0000000 0.0000009 101989284 P4ha3 protein_coding 101989284 P4ha3 ENSMUSG00000051048 P4ha3 ortholog_one2one 81.8702 ENSG00000149380 P4HA3 ortholog_one2one 79.0076 NA NA NA NA NA NA 320452 320452 283208 283208
ENSMOCG00000018492 275.387620 0.3351964 0.0703642 0.0000000 0.0000010 101985252 Msh3 protein_coding 101985252 Msh3 ENSMUSG00000014850 Msh3 ortholog_one2one 88.2784 ENSG00000113318 MSH3 ortholog_one2one 81.6850 NA NA NA NA NA NA 17686 17686 4437 4437
ENSMOCG00000012799 5328.120719 0.3179011 0.0658831 0.0000000 0.0000010 101990083 Strip2 protein_coding 101990083 Strip2 ENSMUSG00000039629 Strip2 ortholog_one2one 96.8937 ENSG00000128578 STRIP2 ortholog_one2one 95.4600 NA NA NA NA NA NA 320609 320609 57464 57464
ENSMOCG00000018806 487.340018 -0.2681898 0.0537571 0.0000000 0.0000010 NA protein_coding NA ENSMUSG00000048537 Phldb1 ortholog_one2many 90.9502 ENSG00000019144 PHLDB1 ortholog_one2many 89.5928 NA NA NA NA NA NA 102693 102693 23187 23187
ENSMOCG00000017735 2868.223532 0.2895579 0.0589009 0.0000000 0.0000010 101980073 Adora2a protein_coding 101980073 Adora2a ENSMUSG00000020178 Adora2a ortholog_one2one 91.4216 ENSG00000128271 ADORA2A ortholog_one2one 83.3333 NA NA NA NA NA NA 11540 11540 135 135
ENSMOCG00000015965 537.664845 -0.3985399 0.0873839 0.0000000 0.0000010 102000262 Ugt8a protein_coding 102000262 Ugt8a ENSMUSG00000032854 Ugt8a ortholog_one2one 96.1183 ENSG00000174607 UGT8 ortholog_one2one 94.0850 NA NA NA NA NA NA 22239 22239 7368 7368
ENSMOCG00000016563 42.992141 0.5535449 0.1214505 0.0000000 0.0000010 NA Mxra8 protein_coding NA Mxra8 ENSMUSG00000029070 Mxra8 ortholog_one2one 83.1839 ENSG00000162576 MXRA8 ortholog_one2one 75.3363 NA NA NA NA NA NA 74761 74761 54587 54587
ENSMOCG00000002818 52.532667 -0.7327131 0.1532318 0.0000000 0.0000011 101983183 Cpne9 protein_coding 101983183 Cpne9 ENSMUSG00000030270 Cpne9 ortholog_one2one 98.9150 ENSG00000144550 CPNE9 ortholog_one2one 98.3725 NA NA NA NA NA NA 211232 211232 151835 151835
ENSMOCG00000011913 43.854652 -0.7939775 0.1652921 0.0000000 0.0000011 101980139 Nkx6-2 protein_coding 101980139 Nkx6-2 ENSMUSG00000041309 Nkx6-2 ortholog_one2one 97.8339 ENSG00000148826 NKX6-2 ortholog_one2one 96.0289 NA NA NA NA NA NA 14912 14912 84504 84504
ENSMOCG00000020453 837.392094 0.2533529 0.0505476 0.0000000 0.0000011 101988161 Kcnq5 protein_coding 101988161 Kcnq5 ENSMUSG00000028033 Kcnq5 ortholog_one2one 97.6842 ENSG00000185760 KCNQ5 ortholog_one2one 94.4211 NA NA NA NA NA NA 226922 226922 56479 56479
ENSMOCG00000015813 768.364600 -0.3290211 0.0691650 0.0000000 0.0000011 101995311 Mast1 protein_coding 101995311 Mast1 ENSMUSG00000053693 Mast1 ortholog_one2one 97.5796 ENSG00000105613 MAST1 ortholog_one2one 94.3949 NA NA NA NA NA NA 56527 56527 22983 22983
ENSMOCG00000002444 81.948210 -0.6633343 0.1411526 0.0000000 0.0000011 101988373 Glp1r protein_coding 101988373 Glp1r ENSMUSG00000024027 Glp1r ortholog_one2one 97.1922 ENSG00000112164 GLP1R ortholog_one2one 93.5205 NA NA NA NA NA NA 14652 14652 2740 2740
ENSMOCG00000010721 149.791587 -0.3078630 0.0637772 0.0000000 0.0000011 101987127 Hmgcl protein_coding 101987127 Hmgcl ENSMUSG00000028672 Hmgcl ortholog_one2one 80.5085 ENSG00000117305 HMGCL ortholog_one2one 77.9661 NA NA NA NA NA NA 15356 15356 3155 3155
ENSMOCG00000016113 159.193629 -0.4134845 0.0918688 0.0000000 0.0000012 101984424 Cpne7 protein_coding 101984424 Cpne7 ENSMUSG00000034796 Cpne7 ortholog_one2one 98.2014 ENSG00000178773 CPNE7 ortholog_one2one 89.2086 NA NA NA NA NA NA 102278 102278 27132 27132
ENSMOCG00000013657 87.581392 -0.4466740 0.1001235 0.0000000 0.0000012 101991209 Grhpr protein_coding 101991209 Grhpr ENSMUSG00000035637 Grhpr ortholog_one2one 92.9878 ENSG00000137106 GRHPR ortholog_one2one 85.0610 NA NA NA NA NA NA 76238 76238 9380 9380
ENSMOCG00000005836 69.307838 -0.5465103 0.1211943 0.0000000 0.0000012 101998095 S1pr5 protein_coding 101998095 S1pr5 ENSMUSG00000045087 S1pr5 ortholog_one2one 94.5000 ENSG00000180739 S1PR5 ortholog_one2one 85.0000 NA NA NA NA NA NA 94226 94226 53637 53637
ENSMOCG00000021823 698.176095 0.2519279 0.0505633 0.0000000 0.0000012 102002834 Kcnj2 protein_coding 102002834 Kcnj2 ENSMUSG00000041695 Kcnj2 ortholog_one2one 99.2974 ENSG00000123700 KCNJ2 ortholog_one2one 99.2974 NA NA NA NA NA NA 16518 16518 3759 3759
ENSMOCG00000019601 14.777874 1.0715640 0.2380316 0.0000000 0.0000012 101992715 Fmo1 protein_coding 101992715 Fmo1 ENSMUSG00000040181 Fmo1 ortholog_one2one 91.9173 ENSG00000010932 FMO1 ortholog_one2one 84.2105 NA NA NA NA NA NA 14261 14261 2326 2326
ENSMOCG00000009810 897.091583 -0.5607153 0.1243434 0.0000000 0.0000013 101989536 protein_coding 101989536 ENSMUSG00000032517 Mobp ortholog_one2one 88.8889 ENSG00000168314 MOBP ortholog_one2one 86.4198 NA NA NA NA NA NA 17433 17433 4336 4336
ENSMOCG00000013784 128.180361 -0.7167445 0.1525519 0.0000000 0.0000014 NA Gsta4 protein_coding NA Gsta4 ENSMUSG00000032348 Gsta4 ortholog_one2one 87.8378 NA NA NA NA NA NA NA 14860 14860 NA NA
ENSMOCG00000019997 7951.669144 -0.3126974 0.0657414 0.0000000 0.0000014 101995578 protein_coding 101995578 ENSMUSG00000027523 Gnas ortholog_one2one 92.8934 ENSG00000087460 GNAS ortholog_one2one 99.4924 NA NA NA NA NA NA 14683 14683 2778 2778
ENSMOCG00000006627 38.029962 -0.7309287 0.1558396 0.0000000 0.0000015 102000810 protein_coding 102000810 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000001590 13.635977 -1.3441980 0.3266183 0.0000000 0.0000015 101980451 Spag17 protein_coding 101980451 Spag17 ENSMUSG00000027867 Spag17 ortholog_one2one 81.2906 ENSG00000155761 SPAG17 ortholog_one2one 72.6721 NA NA NA NA NA NA 74362 74362 200162 200162
ENSMOCG00000022590 157.642038 -0.4423886 0.1003221 0.0000000 0.0000015 101982081 Aspa protein_coding 101982081 Aspa ENSMUSG00000020774 Aspa ortholog_one2one 90.0641 ENSG00000108381 ASPA ortholog_one2one 88.4615 NA NA NA NA NA NA 11484 11484 443 443
ENSMOCG00000005557 117.428216 -0.9159436 0.1975738 0.0000001 0.0000016 101987899 protein_coding 101987899 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000003182 18.369474 -0.7748990 0.1653910 0.0000001 0.0000016 101988315 Spag1 protein_coding 101988315 Spag1 ENSMUSG00000037617 Spag1 ortholog_one2one 79.6892 ENSG00000104450 SPAG1 ortholog_one2one 70.2553 NA NA NA NA NA NA 26942 26942 6674 6674
ENSMOCG00000009114 84.264008 0.3508631 0.0764743 0.0000001 0.0000016 101980282 Rad18 protein_coding 101980282 Rad18 ENSMUSG00000030254 Rad18 ortholog_one2one 80.1217 ENSG00000070950 RAD18 ortholog_one2one 70.5882 NA NA NA NA NA NA 58186 58186 56852 56852
ENSMOCG00000021718 52.775736 -0.5065918 0.1152347 0.0000001 0.0000016 101982741 Mettl8 protein_coding 101982741 Mettl8 ENSMUSG00000041975 Mettl8 ortholog_one2one 85.5297 ENSG00000123600 METTL8 ortholog_one2one 76.2274 NA NA NA NA NA NA 228019 228019 79828 79828
ENSMOCG00000021100 62.065607 0.8992837 0.1943261 0.0000001 0.0000017 101982126 Pde6b protein_coding 101982126 Pde6b ENSMUSG00000029491 Pde6b ortholog_one2one 97.1963 ENSG00000133256 PDE6B ortholog_one2one 92.2897 NA NA NA NA NA NA 18587 18587 5158 5158
ENSMOCG00000019475 1189.207000 0.9342959 0.2034053 0.0000001 0.0000017 NA protein_coding NA NA ENSG00000111640 GAPDH ortholog_one2many 93.5385 NA NA NA NA NA NA NA NA 2597 2597
ENSMOCG00000011385 64.911111 -0.5329017 0.1209195 0.0000001 0.0000017 101981605 Morc4 protein_coding 101981605 Morc4 ENSMUSG00000031434 Morc4 ortholog_one2one 87.2570 ENSG00000133131 MORC4 ortholog_one2one 84.3413 NA NA NA NA NA NA 75746 75746 79710 79710
ENSMOCG00000020811 112.781153 -0.9623660 0.2114988 0.0000001 0.0000018 101995289 Calcr protein_coding 101995289 Calcr ENSMUSG00000023964 Calcr ortholog_one2one 74.0741 ENSG00000004948 CALCR ortholog_one2one 63.8889 NA NA NA NA NA NA 12311 12311 799 799
ENSMOCG00000001528 86.593676 -2.3109523 0.6011852 0.0000001 0.0000018 NA protein_coding NA ENSMUSG00000039001 Rps21 ortholog_one2many 93.0233 ENSG00000171858 RPS21 ortholog_one2many 95.3488 NA NA NA NA NA NA 66481 66481 6227 6227
ENSMOCG00000007877 102.834021 -0.3168107 0.0677883 0.0000001 0.0000018 101997916 Thoc6 protein_coding 101997916 Thoc6 ENSMUSG00000041319 Thoc6 ortholog_one2one 96.4809 ENSG00000131652 THOC6 ortholog_one2one 93.8416 NA NA NA NA NA NA 386612 386612 79228 79228
ENSMOCG00000017377 53.466733 -0.5007247 0.1149858 0.0000001 0.0000019 101987709 Rftn1 protein_coding 101987709 Rftn1 ENSMUSG00000039316 Rftn1 ortholog_one2one 83.7887 ENSG00000131378 RFTN1 ortholog_one2one 72.1311 NA NA NA NA NA NA 76438 76438 23180 23180
ENSMOCG00000019353 774.333052 -0.2915290 0.0612843 0.0000001 0.0000019 101990759 Gas6 protein_coding 101990759 Gas6 ENSMUSG00000031451 Gas6 ortholog_one2one 91.6914 ENSG00000183087 GAS6 ortholog_one2one 82.7893 NA NA NA NA NA NA 14456 14456 2621 2621
ENSMOCG00000011686 169.337960 -0.5858830 0.1320203 0.0000001 0.0000019 101993921 Lhx8 protein_coding 101993921 Lhx8 ENSMUSG00000096225 Lhx8 ortholog_one2one 98.9101 ENSG00000162624 LHX8 ortholog_one2one 86.9210 NA NA NA NA NA NA 16875 16875 431707 431707
ENSMOCG00000013023 790.751492 0.3727136 0.0836764 0.0000001 0.0000021 101995761 Adcy1 protein_coding 101995761 Adcy1 ENSMUSG00000020431 Adcy1 ortholog_one2one 85.8670 ENSG00000164742 ADCY1 ortholog_one2one 80.4038 NA NA NA NA NA NA 432530 432530 107 107
ENSMOCG00000019811 19.116799 -0.9598147 0.2136796 0.0000001 0.0000022 NA Mmel1 protein_coding NA Mmel1 ENSMUSG00000058183 Mmel1 ortholog_one2one 81.8064 ENSG00000142606 MMEL1 ortholog_one2one 81.8064 NA NA NA NA NA NA 27390 27390 79258 79258
ENSMOCG00000019523 36.974875 -0.5482485 0.1260070 0.0000001 0.0000023 NA D7Ertd443e protein_coding NA D7Ertd443e ENSMUSG00000030994 D7Ertd443e ortholog_one2one 79.7688 ENSG00000154493 C10orf90 ortholog_one2one 65.1734 NA NA NA NA NA NA 71007 71007 118611 118611
ENSMOCG00000016081 1888.246551 0.2899030 0.0615831 0.0000001 0.0000024 101998372 Spock3 protein_coding 101998372 Spock3 ENSMUSG00000054162 Spock3 ortholog_one2one 86.3861 ENSG00000196104 SPOCK3 ortholog_one2one 80.9406 NA NA NA NA NA NA 72902 72902 50859 50859
ENSMOCG00000000462 9.854156 -1.8226280 0.4813365 0.0000001 0.0000024 101985262 protein_coding 101985262 ENSMUSG00000104713 Gbp6 ortholog_many2many 82.0976 ENSG00000183347 GBP6 ortholog_one2many 77.2152 ENSMUSG00000104713, ENSMUSG00000105096, ENSMUSG00000029298, ENSMUSG00000092021, ENSMUSG00000079363, ENSMUSG00000034438 Gbp6, Gbp10, Gbp9, Gbp11, Gbp4, Gbp8 82.0976, 81.9168, 81.5552, 81.0127, 77.7577, 69.0778 ENSG00000183347, ENSG00000183347, ENSG00000183347, ENSG00000183347, ENSG00000183347, ENSG00000183347 GBP6, GBP6, GBP6, GBP6, GBP6, GBP6 77.2152, 77.2152, 77.2152, 77.2152, 77.2152, 77.2152 100702 100702 163351 163351
ENSMOCG00000015042 405.007422 -0.2851379 0.0604484 0.0000001 0.0000025 102001866 Grip2 protein_coding 102001866 Grip2 ENSMUSG00000030098 Grip2 ortholog_one2one 96.5484 ENSG00000144596 GRIP2 ortholog_one2one 87.8236 NA NA NA NA NA NA 243547 243547 80852 80852
ENSMOCG00000014752 62.628148 -0.4745934 0.1110808 0.0000001 0.0000025 101983433 protein_coding 101983433 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000019265 42.313179 0.6990727 0.1550419 0.0000001 0.0000025 101990597 AU021092 protein_coding 101990597 AU021092 ENSMUSG00000051669 AU021092 ortholog_one2one 84.6154 ENSG00000153446 C16orf89 ortholog_one2one 68.4066 NA NA NA NA NA NA 239691 239691 146556 146556
ENSMOCG00000015929 244.202686 -0.3958526 0.0911512 0.0000001 0.0000026 101980780 Arhgdig protein_coding 101980780 Arhgdig ENSMUSG00000073433 Arhgdig ortholog_one2one 92.4444 ENSG00000242173 ARHGDIG ortholog_one2one 82.2222 NA NA NA NA NA NA 14570 14570 398 398
ENSMOCG00000016075 69.713332 -0.4767179 0.1117831 0.0000001 0.0000026 101979013 Tnfaip8 protein_coding 101979013 Tnfaip8 ENSMUSG00000062210 Tnfaip8 ortholog_one2one 97.1698 ENSG00000145779 TNFAIP8 ortholog_one2one 87.2642 NA NA NA NA NA NA 106869 106869 25816 25816
ENSMOCG00000019711 469.952721 -0.3122304 0.0679729 0.0000001 0.0000028 101991510 protein_coding 101991510 ENSMUSG00000034751 Mast4 ortholog_one2one 96.9167 ENSG00000069020 MAST4 ortholog_one2one 94.8333 NA NA NA NA NA NA 328329 328329 375449 375449
ENSMOCG00000001011 705.917341 0.2887856 0.0618993 0.0000001 0.0000029 101983369 Prkch protein_coding 101983369 Prkch ENSMUSG00000021108 Prkch ortholog_one2one 98.9751 ENSG00000027075 PRKCH ortholog_one2one 97.8038 NA NA NA NA NA NA 18755 18755 5583 5583
ENSMOCG00000002078 12.916778 -0.9622422 0.2185925 0.0000001 0.0000029 102001582 Gchfr protein_coding 102001582 Gchfr ENSMUSG00000046814 Gchfr ortholog_one2one 92.8571 ENSG00000137880 GCHFR ortholog_one2one 91.6667 NA NA NA NA NA NA 320415 320415 2644 2644
ENSMOCG00000020738 12.002783 -1.3987603 0.3619678 0.0000001 0.0000030 101979773 Lipg protein_coding 101979773 Lipg ENSMUSG00000053846 Lipg ortholog_one2one 80.4000 ENSG00000101670 LIPG ortholog_one2one 75.8000 NA NA NA NA NA NA 16891 16891 9388 9388
ENSMOCG00000012510 28.175807 0.6246195 0.1428818 0.0000001 0.0000031 101990013 Pm20d1 protein_coding 101990013 Pm20d1 ENSMUSG00000042251 Pm20d1 ortholog_one2one 84.8907 ENSG00000162877 PM20D1 ortholog_one2one 73.9563 NA NA NA NA NA NA 212933 212933 148811 148811
ENSMOCG00000009804 273.475004 -0.3080667 0.0672185 0.0000001 0.0000031 101989734 Tspan14 protein_coding 101989734 Tspan14 ENSMUSG00000037824 Tspan14 ortholog_one2one 99.6296 ENSG00000108219 TSPAN14 ortholog_one2one 97.0370 NA NA NA NA NA NA 52588 52588 81619 81619
ENSMOCG00000018654 235.967362 -0.3472035 0.0783715 0.0000001 0.0000032 101990954 Slc27a3 protein_coding 101990954 Slc27a3 ENSMUSG00000027932 Slc27a3 ortholog_one2one 88.7725 ENSG00000143554 SLC27A3 ortholog_one2one 85.1796 NA NA NA NA NA NA 26568 26568 11000 11000
ENSMOCG00000020965 1000.832400 0.2816013 0.0606544 0.0000001 0.0000036 101988650 Lingo3 protein_coding 101988650 Lingo3 ENSMUSG00000051067 Lingo3 ortholog_one2one 96.4407 ENSG00000220008 LINGO3 ortholog_one2one 88.6441 NA NA NA NA NA NA 237403 237403 645191 645191
ENSMOCG00000018609 88.738314 -0.4064587 0.0959570 0.0000001 0.0000037 102001627 Bag3 protein_coding 102001627 Bag3 ENSMUSG00000030847 Bag3 ortholog_one2one 91.4783 ENSG00000151929 BAG3 ortholog_one2one 85.9130 NA NA NA NA NA NA 29810 29810 9531 9531
ENSMOCG00000009504 71.431714 -0.4473357 0.1068489 0.0000001 0.0000037 101996726 Col1a2 protein_coding 101996726 Col1a2 ENSMUSG00000029661 Col1a2 ortholog_one2one 91.7343 ENSG00000164692 COL1A2 ortholog_one2one 89.2251 NA NA NA NA NA NA 12843 12843 1278 1278
ENSMOCG00000010560 184.005386 -0.2917556 0.0635258 0.0000001 0.0000038 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000008782 1639.867823 -0.3939618 0.0927440 0.0000001 0.0000039 101996060 Mag protein_coding 101996060 Mag ENSMUSG00000036634 Mag ortholog_one2one 96.9649 ENSG00000105695 MAG ortholog_one2one 93.9297 NA NA NA NA NA NA 17136 17136 4099 4099
ENSMOCG00000022425 1375.526769 -0.3391978 0.0770015 0.0000002 0.0000040 101980882 Ndn protein_coding 101980882 Ndn ENSMUSG00000033585 Ndn ortholog_one2one 90.1841 ENSG00000182636 NDN ortholog_one2one 82.8221 NA NA NA NA NA NA 17984 17984 4692 4692
ENSMOCG00000002022 82.670740 -0.4789947 0.1152541 0.0000002 0.0000040 NA protein_coding NA ENSMUSG00000054708 Ankrd24 ortholog_one2one 95.7143 ENSG00000089847 ANKRD24 ortholog_one2one 84.2857 NA NA NA NA NA NA 70615 70615 170961 170961
ENSMOCG00000002558 277.222096 0.2529518 0.0539117 0.0000002 0.0000041 101997166 Camk1d protein_coding 101997166 Camk1d ENSMUSG00000039145 Camk1d ortholog_one2one 99.4805 ENSG00000183049 CAMK1D ortholog_one2one 97.9221 NA NA NA NA NA NA 227541 227541 57118 57118
ENSMOCG00000004144 654.605294 -0.3537708 0.0813592 0.0000002 0.0000041 101999292 Gpr37 protein_coding 101999292 Gpr37 ENSMUSG00000039904 Gpr37 ortholog_one2one 90.2640 ENSG00000170775 GPR37 ortholog_one2one 82.6733 NA NA NA NA NA NA 14763 14763 2861 2861
ENSMOCG00000013274 263.561081 0.6757760 0.1551987 0.0000002 0.0000041 101990228 Rnase4 protein_coding 101990228 Rnase4 ENSMUSG00000021876 Rnase4 ortholog_one2one 85.8108 ENSG00000258818 RNASE4 ortholog_one2one 84.4595 NA NA NA NA NA NA 58809 58809 6038 6038
ENSMOCG00000013158 291.576887 -0.2800125 0.0607783 0.0000002 0.0000042 101994413 Pofut2 protein_coding 101994413 Pofut2 ENSMUSG00000020260 Pofut2 ortholog_one2one 98.6014 ENSG00000186866 POFUT2 ortholog_one2one 91.8415 NA NA NA NA NA NA 80294 80294 23275 23275
ENSMOCG00000012006 104.072509 -0.9246759 0.2134189 0.0000002 0.0000042 102002132 Sertm1 protein_coding 102002132 Sertm1 ENSMUSG00000056306 Sertm1 ortholog_one2one 96.2617 ENSG00000180440 SERTM1 ortholog_one2one 95.3271 NA NA NA NA NA NA 329641 329641 400120 400120
ENSMOCG00000018119 617.909567 0.2881944 0.0629992 0.0000002 0.0000042 101979528 protein_coding 101979528 ENSMUSG00000030465 Psd3 ortholog_one2many 89.3617 ENSG00000156011 PSD3 ortholog_one2many 87.7660 NA NA NA NA NA NA 234353 234353 23362 23362
ENSMOCG00000004156 102.430423 0.3936337 0.0932648 0.0000002 0.0000043 101982186 Mks1 protein_coding 101982186 Mks1 ENSMUSG00000034121 Mks1 ortholog_one2one 94.1176 ENSG00000011143 MKS1 ortholog_one2one 88.4135 NA NA NA NA NA NA 380718 380718 54903 54903
ENSMOCG00000021194 62.824828 -0.5232899 0.1259348 0.0000002 0.0000044 101990610 Cdc42ep2 protein_coding 101990610 Cdc42ep2 ENSMUSG00000045664 Cdc42ep2 ortholog_one2one 94.8598 ENSG00000149798 CDC42EP2 ortholog_one2one 86.9159 NA NA NA NA NA NA 104252 104252 10435 10435
ENSMOCG00000018548 57.607456 -0.5915489 0.1398299 0.0000002 0.0000044 101996979 Aldh1a1 protein_coding 101996979 Aldh1a1 ENSMUSG00000053279 Aldh1a1 ortholog_one2one 94.6108 ENSG00000165092 ALDH1A1 ortholog_one2many 85.8283 NA NA NA NA NA NA 11668, 320092 11668 216 216
ENSMOCG00000015901 3103.345638 0.2695604 0.0582961 0.0000002 0.0000044 101997393 Inf2 protein_coding 101997393 Inf2 ENSMUSG00000037679 Inf2 ortholog_one2one 90.0319 ENSG00000203485 INF2 ortholog_one2one 78.8676 NA NA NA NA NA NA 70435 70435 64423 64423
ENSMOCG00000008428 47.699493 -0.9191970 0.2127913 0.0000002 0.0000044 101984563 Htr7 protein_coding 101984563 Htr7 ENSMUSG00000024798 Htr7 ortholog_one2one 95.7447 ENSG00000148680 HTR7 ortholog_one2one 88.5106 NA NA NA NA NA NA 15566 15566 3363 3363
ENSMOCG00000021969 209.793832 0.3424818 0.0786052 0.0000002 0.0000045 101986559 protein_coding 101986559 ENSMUSG00000020268 Lyrm7 ortholog_one2many 88.4615 ENSG00000186687 LYRM7 ortholog_one2many 84.6154 NA NA NA NA NA NA 75530 75530 90624 90624
ENSMOCG00000019373 113.263667 -0.5895236 0.1399763 0.0000002 0.0000046 101986405 protein_coding 101986405 ENSMUSG00000038587 Akap12 ortholog_one2one 82.5123 ENSG00000131016 AKAP12 ortholog_one2one 71.9212 NA NA NA NA NA NA 83397 83397 9590 9590
ENSMOCG00000013076 178.508146 -0.3855885 0.0914486 0.0000002 0.0000047 101994542 Snx33 protein_coding 101994542 Snx33 ENSMUSG00000032733 Snx33 ortholog_one2one 91.6376 ENSG00000173548 SNX33 ortholog_one2one 90.7665 NA NA NA NA NA NA 235406 235406 257364 257364
ENSMOCG00000019577 46.013740 -0.5423591 0.1308772 0.0000002 0.0000048 101995523 Flywch2 protein_coding 101995523 Flywch2 ENSMUSG00000023911 Flywch2 ortholog_one2one 77.6978 ENSG00000162076 FLYWCH2 ortholog_one2one 71.2230 NA NA NA NA NA NA 76917 76917 114984 114984
ENSMOCG00000004124 96.941543 -0.3698595 0.0870535 0.0000002 0.0000049 101994683 Isl1 protein_coding 101994683 Isl1 ENSMUSG00000042258 Isl1 ortholog_one2one 99.7135 ENSG00000016082 ISL1 ortholog_one2one 99.7135 NA NA NA NA NA NA 16392 16392 3670 3670
ENSMOCG00000005220 221.800401 -0.3245905 0.0737624 0.0000002 0.0000049 101985027 Lrfn1 protein_coding 101985027 Lrfn1 ENSMUSG00000030600 Lrfn1 ortholog_one2one 98.1651 ENSG00000128011 LRFN1 ortholog_one2one 95.2818 NA NA NA NA NA NA 80749 80749 57622 57622
ENSMOCG00000017792 60.200578 1.1320121 0.2834124 0.0000002 0.0000049 101979560 Tmc8 protein_coding 101979560 Tmc8 ENSMUSG00000050106 Tmc8 ortholog_one2one 89.3354 ENSG00000167895 TMC8 ortholog_one2one 75.8887 NA NA NA NA NA NA 217356 217356 147138 147138
ENSMOCG00000020887 35.734020 0.6580646 0.1539931 0.0000002 0.0000050 101980489 Trhr protein_coding 101980489 Trhr ENSMUSG00000038760 Trhr ortholog_one2one 93.4673 ENSG00000174417 TRHR ortholog_one2one 94.4724 NA NA NA NA NA NA 22045 22045 7201 7201
ENSMOCG00000014320 66.105980 0.6046801 0.1436956 0.0000002 0.0000050 101998941 Hcrtr2 protein_coding 101998941 Hcrtr2 ENSMUSG00000032360 Hcrtr2 ortholog_one2one 98.2609 ENSG00000137252 HCRTR2 ortholog_one2one 91.5217 NA NA NA NA NA NA 387285 387285 3062 3062
ENSMOCG00000012439 118.714642 -0.4028996 0.0968349 0.0000002 0.0000050 101994020 Gpc4 protein_coding 101994020 Gpc4 ENSMUSG00000031119 Gpc4 ortholog_one2one 94.9640 ENSG00000076716 GPC4 ortholog_one2one 92.0863 NA NA NA NA NA NA 14735 14735 2239 2239
ENSMOCG00000015093 56.093331 -0.8924379 0.2073392 0.0000002 0.0000050 101991198 Steap2 protein_coding 101991198 Steap2 ENSMUSG00000015653 Steap2 ortholog_one2one 97.9550 ENSG00000157214 STEAP2 ortholog_one2one 96.3190 NA NA NA NA NA NA 74051 74051 261729 261729
ENSMOCG00000010433 81.553227 0.4439795 0.1082451 0.0000002 0.0000050 101979999 protein_coding 101979999 ENSMUSG00000022881 Rfc4 ortholog_one2many 85.4396 ENSG00000163918 RFC4 ortholog_one2many 87.0879 NA NA NA NA NA NA 106344 106344 5984 5984
ENSMOCG00000019925 116.778992 -0.4423972 0.1079723 0.0000002 0.0000052 101983097 P2rx7 protein_coding 101983097 P2rx7 ENSMUSG00000029468 P2rx7 ortholog_one2one 86.0507 ENSG00000089041 P2RX7 ortholog_one2one 80.6159 NA NA NA NA NA NA 18439 18439 5027 5027
ENSMOCG00000011384 45.474071 -0.9847459 0.2356241 0.0000002 0.0000054 101989417 Klhl1 protein_coding 101989417 Klhl1 ENSMUSG00000022076 Klhl1 ortholog_one2one 97.7303 ENSG00000150361 KLHL1 ortholog_one2one 94.5260 NA NA NA NA NA NA 93688 93688 57626 57626
ENSMOCG00000018447 87.471532 -0.4678975 0.1148711 0.0000002 0.0000054 101988308 protein_coding 101988308 ENSMUSG00000035772 Mrps2 ortholog_one2many 89.3103 ENSG00000122140 MRPS2 ortholog_one2many 70.3448 NA NA NA NA NA NA 118451 118451 51116 51116
ENSMOCG00000003806 13.178032 -1.3714152 0.3711967 0.0000002 0.0000054 NA Saa4 protein_coding NA Saa4 ENSMUSG00000040017 Saa4 ortholog_one2one 83.7209 ENSG00000148965 SAA4 ortholog_one2one 57.3643 NA NA NA NA NA NA 20211 20211 6291 6291
ENSMOCG00000013374 930.209309 -0.2612380 0.0568577 0.0000002 0.0000054 101980228 Ache protein_coding 101980228 Ache ENSMUSG00000023328 Ache ortholog_one2one 96.5798 ENSG00000087085 ACHE ortholog_one2one 89.0880 NA NA NA NA NA NA 11423 11423 43 43
ENSMOCG00000006136 131.622236 -0.3330657 0.0767543 0.0000002 0.0000055 101995788 Spats2l protein_coding 101995788 Spats2l ENSMUSG00000038305 Spats2l ortholog_one2one 90.7965 ENSG00000196141 SPATS2L ortholog_one2one 87.4336 NA NA NA NA NA NA 67198 67198 26010 26010
ENSMOCG00000002116 125.968857 0.3150659 0.0716406 0.0000002 0.0000056 101992504 Chsy3 protein_coding 101992504 Chsy3 ENSMUSG00000058152 Chsy3 ortholog_one2one 94.1176 ENSG00000198108 CHSY3 ortholog_one2one 91.9683 NA NA NA NA NA NA 78923 78923 337876 337876
ENSMOCG00000011552 45.118093 -1.8339964 0.5276487 0.0000002 0.0000057 101987761 Ngfr protein_coding 101987761 Ngfr ENSMUSG00000000120 Ngfr ortholog_one2one 93.4579 ENSG00000064300 NGFR ortholog_one2one 91.8224 NA NA NA NA NA NA 18053 18053 4804 4804
ENSMOCG00000005062 8.556598 -4.3871097 1.0926159 0.0000002 0.0000057 101985106 protein_coding 101985106 ENSMUSG00000027076 Timm10 ortholog_one2many 100.0000 ENSG00000134809 TIMM10 ortholog_one2many 100.0000 NA NA NA NA NA NA 30059 30059 26519 26519
ENSMOCG00000011513 531.010737 -0.3108330 0.0705051 0.0000002 0.0000057 101981684 Npy protein_coding 101981684 Npy ENSMUSG00000029819 Npy ortholog_one2one 95.8763 ENSG00000122585 NPY ortholog_one2one 93.8144 NA NA NA NA NA NA 109648 109648 4852 4852
ENSMOCG00000007627 109.694462 0.3318892 0.0767288 0.0000002 0.0000058 101994055 Ddx19b protein_coding 101994055 Ddx19b ENSMUSG00000033658 Ddx19b ortholog_one2one 88.7202 ENSG00000157349 DDX19B ortholog_one2one 91.1063 NA NA NA NA NA NA 234733 234733 11269 11269
ENSMOCG00000021747 405.212626 -0.3495849 0.0821253 0.0000002 0.0000060 102001082 Sox10 protein_coding 102001082 Sox10 ENSMUSG00000033006 Sox10 ortholog_one2one 99.5708 ENSG00000100146 SOX10 ortholog_one2one 98.0687 NA NA NA NA NA NA 20665 20665 6663 6663
ENSMOCG00000018005 87.149924 -0.3848307 0.0927512 0.0000003 0.0000060 101989915 Selenoh protein_coding 101989915 Selenoh ENSMUSG00000076437 Selenoh ortholog_one2one 92.5000 ENSG00000211450 SELENOH ortholog_one2one 71.6667 NA NA NA NA NA NA 72657 72657 280636 280636
ENSMOCG00000011833 83.485005 -0.5044084 0.1246136 0.0000003 0.0000061 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000002257 590.139391 0.2579710 0.0564465 0.0000003 0.0000061 101998534 Abl2 protein_coding 101998534 Abl2 ENSMUSG00000026596 Abl2 ortholog_one2one 97.9678 ENSG00000143322 ABL2 ortholog_one2one 95.4276 NA NA NA NA NA NA 11352 11352 27 27
ENSMOCG00000001886 96.846694 -0.4544651 0.1125661 0.0000003 0.0000062 101980725 Sh3tc2 protein_coding 101980725 Sh3tc2 ENSMUSG00000045629 Sh3tc2 ortholog_one2one 90.4503 ENSG00000169247 SH3TC2 ortholog_one2one 83.1522 NA NA NA NA NA NA 225608 225608 79628 79628
ENSMOCG00000022625 250.153447 -0.4612672 0.1143543 0.0000003 0.0000062 102000114 Ermn protein_coding 102000114 Ermn ENSMUSG00000026830 Ermn ortholog_one2one 74.7331 ENSG00000136541 ERMN ortholog_one2one 64.7687 NA NA NA NA NA NA 77767 77767 57471 57471
ENSMOCG00000021065 228.552673 -0.3453488 0.0811546 0.0000003 0.0000062 101992512 Foxp4 protein_coding 101992512 Foxp4 ENSMUSG00000023991 Foxp4 ortholog_one2one 96.8750 ENSG00000137166 FOXP4 ortholog_one2one 93.3036 NA NA NA NA NA NA 74123 74123 116113 116113
ENSMOCG00000014447 264.443501 -0.2826906 0.0631255 0.0000003 0.0000064 102001185 Ptpdc1 protein_coding 102001185 Ptpdc1 ENSMUSG00000038042 Ptpdc1 ortholog_one2one 89.3758 ENSG00000158079 PTPDC1 ortholog_one2one 79.9469 NA NA NA NA NA NA 218232 218232 138639 138639
ENSMOCG00000008511 22.478626 -1.1035752 0.2802642 0.0000003 0.0000064 102002534 Adra1b protein_coding 102002534 Adra1b ENSMUSG00000050541 Adra1b ortholog_one2one 98.2524 ENSG00000170214 ADRA1B ortholog_one2one 96.1165 NA NA NA NA NA NA 11548 11548 147 147
ENSMOCG00000017508 84.423187 -0.7039542 0.1666991 0.0000003 0.0000066 101980042 Foxj1 protein_coding 101980042 Foxj1 ENSMUSG00000034227 Foxj1 ortholog_one2one 97.3872 ENSG00000129654 FOXJ1 ortholog_one2one 94.2993 NA NA NA NA NA NA 15223 15223 2302 2302
ENSMOCG00000022081 150.020383 -0.5951083 0.1448328 0.0000003 0.0000066 101998727 Trpc4 protein_coding 101998727 Trpc4 ENSMUSG00000027748 Trpc4 ortholog_one2one 97.8417 ENSG00000133107 TRPC4 ortholog_one2one 96.5057 NA NA NA NA NA NA 22066 22066 7223 7223
ENSMOCG00000003355 103.951662 -0.3559325 0.0847022 0.0000003 0.0000067 102001368 Pcsk6 protein_coding 102001368 Pcsk6 ENSMUSG00000030513 Pcsk6 ortholog_one2one 97.0046 ENSG00000140479 PCSK6 ortholog_one2one 93.0876 NA NA NA NA NA NA 18553 18553 5046 5046
ENSMOCG00000009076 30.104105 -0.6255138 0.1511745 0.0000003 0.0000068 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000016874 76.617618 -0.4759107 0.1187670 0.0000003 0.0000068 101999172 Abtb3 protein_coding 101999172 Abtb3 ENSMUSG00000020042 Abtb3 ortholog_one2one 98.1149 ENSG00000151136 ABTB3 ortholog_one2one 96.4991 NA NA NA NA NA NA 74007 74007 121551 121551
ENSMOCG00000009988 3586.104711 0.2883463 0.0649107 0.0000003 0.0000068 101996589 Rgs9 protein_coding 101996589 Rgs9 ENSMUSG00000020599 Rgs9 ortholog_one2one 96.0118 ENSG00000108370 RGS9 ortholog_one2one 89.9557 NA NA NA NA NA NA 19739 19739 8787 8787
ENSMOCG00000003711 826.726077 0.2761839 0.0616955 0.0000003 0.0000070 101986039 Dcbld2 protein_coding 101986039 Dcbld2 ENSMUSG00000035107 Dcbld2 ortholog_one2one 88.6744 ENSG00000057019 DCBLD2 ortholog_one2one 84.9421 NA NA NA NA NA NA 73379 73379 131566 131566
ENSMOCG00000019214 174.756686 -0.5478954 0.1357687 0.0000003 0.0000071 101981120 Pygl protein_coding 101981120 Pygl ENSMUSG00000021069 Pygl ortholog_one2one 97.4057 ENSG00000100504 PYGL ortholog_one2one 93.7500 NA NA NA NA NA NA 110095 110095 5836 5836
ENSMOCG00000016356 28.466060 0.6411509 0.1550359 0.0000003 0.0000073 101988475 Fancd2os protein_coding 101988475 Fancd2os ENSMUSG00000033963 Fancd2os ortholog_one2one 94.9438 ENSG00000163705 FANCD2OS ortholog_one2one 91.5730 NA NA NA NA NA NA 70979 70979 115795 115795
ENSMOCG00000010483 262.664690 0.4546918 0.1138340 0.0000003 0.0000073 101987227 Syt10 protein_coding 101987227 Syt10 ENSMUSG00000063260 Syt10 ortholog_one2one 92.0904 ENSG00000110975 SYT10 ortholog_one2one 88.3239 NA NA NA NA NA NA 54526 54526 341359 341359
ENSMOCG00000007280 346.765284 0.3147738 0.0727892 0.0000003 0.0000074 NA Lrp1b protein_coding NA Lrp1b ENSMUSG00000049252 Lrp1b ortholog_one2one 94.5785 ENSG00000168702 LRP1B ortholog_one2one 92.2848 NA NA NA NA NA NA 94217 94217 53353 53353
ENSMOCG00000008887 88.787553 -0.3646657 0.0879569 0.0000003 0.0000074 101999127 Faap20 protein_coding 101999127 Faap20 ENSMUSG00000073684 Faap20 ortholog_one2one 77.4194 ENSG00000162585 FAAP20 ortholog_one2one 54.3011 NA NA NA NA NA NA 67513 67513 199990 199990
ENSMOCG00000016980 83.628024 -0.3882192 0.0953049 0.0000003 0.0000076 101981744 Dnph1 protein_coding 101981744 Dnph1 ENSMUSG00000040658 Dnph1 ortholog_one2one 81.0976 ENSG00000112667 DNPH1 ortholog_one2one 76.2195 NA NA NA NA NA NA 381101 381101 10591 10591
ENSMOCG00000003980 20.272382 -0.9550688 0.2342164 0.0000003 0.0000079 102000249 Asah2 protein_coding 102000249 Asah2 ENSMUSG00000024887 Asah2 ortholog_one2one 88.7566 ENSG00000188611 ASAH2 ortholog_one2many 81.7460 ENSMUSG00000024887, ENSMUSG00000024887 Asah2, Asah2 88.7566, 88.7566 ENSG00000188611, ENSG00000204147 ASAH2, ASAH2B 81.746, 16.4021 54447 54447 56624 56624
ENSMOCG00000004315 598.124712 0.2561310 0.0569360 0.0000004 0.0000081 102002798 Caln1 protein_coding 102002798 Caln1 ENSMUSG00000060371 Caln1 ortholog_one2one 98.8506 ENSG00000183166 CALN1 ortholog_one2one 95.7854 NA NA NA NA NA NA 140904 140904 83698 83698
ENSMOCG00000010420 200.546539 -0.2565467 0.0570918 0.0000004 0.0000082 101982419 Ufsp2 protein_coding 101982419 Ufsp2 ENSMUSG00000031634 Ufsp2 ortholog_one2one 86.9379 ENSG00000109775 UFSP2 ortholog_one2one 82.8694 NA NA NA NA NA NA 192169 192169 55325 55325
ENSMOCG00000006049 1549.401457 0.2641326 0.0591020 0.0000004 0.0000083 101996419 Sacs protein_coding 101996419 Sacs ENSMUSG00000048279 Sacs ortholog_one2one 97.0543 ENSG00000151835 SACS ortholog_one2one 93.6504 NA NA NA NA NA NA 50720 50720 26278 26278
ENSMOCG00000012997 421.432208 0.2501654 0.0556067 0.0000004 0.0000086 101986976 Cyp7b1 protein_coding 101986976 Cyp7b1 ENSMUSG00000039519 Cyp7b1 ortholog_one2one 72.7811 ENSG00000172817 CYP7B1 ortholog_one2one 65.8777 NA NA NA NA NA NA 13123 13123 9420 9420
ENSMOCG00000014619 226.715544 -0.2830520 0.0643484 0.0000004 0.0000086 101981687 Iglon5 protein_coding 101981687 Iglon5 ENSMUSG00000013367 Iglon5 ortholog_one2one 94.6108 ENSG00000142549 IGLON5 ortholog_one2one 93.1138 NA NA NA NA NA NA 210094 210094 402665 402665
ENSMOCG00000014791 145.722592 -0.3086669 0.0719194 0.0000004 0.0000091 101986904 Psmg3 protein_coding 101986904 Psmg3 ENSMUSG00000029551 Psmg3 ortholog_one2one 94.2623 ENSG00000157778 PSMG3 ortholog_one2one 90.1639 NA NA NA NA NA NA 66506 66506 84262 84262
ENSMOCG00000008480 196.566667 -0.2719138 0.0615016 0.0000004 0.0000091 101997806 Ubash3b protein_coding 101997806 Ubash3b ENSMUSG00000032020 Ubash3b ortholog_one2one 99.0596 ENSG00000154127 UBASH3B ortholog_one2one 97.9624 NA NA NA NA NA NA 72828 72828 84959 84959
ENSMOCG00000015645 172.314751 -0.3963595 0.0989610 0.0000004 0.0000092 101983622 Ano4 protein_coding 101983622 Ano4 ENSMUSG00000035189 Ano4 ortholog_one2one 98.7435 ENSG00000151572 ANO4 ortholog_one2one 97.6963 NA NA NA NA NA NA 320091 320091 121601 121601
ENSMOCG00000007447 220.395887 -0.2746725 0.0624590 0.0000004 0.0000096 101981822 protein_coding 101981822 ENSMUSG00000038812 Trmt112 ortholog_one2many 96.8000 ENSG00000173113 TRMT112 ortholog_one2many 72.0000 NA NA NA NA NA NA 67674 67674 51504 51504
ENSMOCG00000015029 126.253849 -0.3671143 0.0902918 0.0000004 0.0000096 101980030 Rgs11 protein_coding 101980030 Rgs11 ENSMUSG00000024186 Rgs11 ortholog_one2one 89.5075 ENSG00000076344 RGS11 ortholog_one2one 77.5161 NA NA NA NA NA NA 50782 50782 8786 8786
ENSMOCG00000014394 436.114405 -0.3434999 0.0828988 0.0000004 0.0000096 101985439 Folh1 protein_coding 101985439 Folh1 ENSMUSG00000001773 Folh1 ortholog_one2one 86.8742 ENSG00000086205 FOLH1 ortholog_one2one 83.7618 NA NA NA NA NA NA 53320 53320 2346 2346
ENSMOCG00000009624 168.418432 -0.2550735 0.0573025 0.0000004 0.0000097 101994010, 101998895 Cetn3, Cetn3 protein_coding 101994010 Cetn3 ENSMUSG00000021537 Cetn3 ortholog_one2one 97.0060 ENSG00000153140 CETN3 ortholog_one2one 97.6048 NA NA NA NA NA NA 12626 12626 1070 1070
ENSMOCG00000002279 1643.535736 -0.2649801 0.0599157 0.0000005 0.0000097 102001823 Nrxn2 protein_coding 102001823 Nrxn2 ENSMUSG00000033768 Nrxn2 ortholog_one2one 98.6534 ENSG00000110076 NRXN2 ortholog_one2one 97.9508 NA NA NA NA NA NA 18190 18190 9379 9379
ENSMOCG00000013540 946.507393 -0.4678404 0.1198495 0.0000005 0.0000099 101992393 Nrip3 protein_coding 101992393 Nrip3 ENSMUSG00000034825 Nrip3 ortholog_one2one 95.6175 ENSG00000175352 NRIP3 ortholog_one2one 88.0478 NA NA NA NA NA NA 78593 78593 56675 56675
ENSMOCG00000010808 94.917958 0.3089077 0.0725067 0.0000005 0.0000100 NA Rnf170 protein_coding NA Rnf170 ENSMUSG00000013878 Rnf170 ortholog_one2one 82.7839 ENSG00000120925 RNF170 ortholog_one2one 74.3590 NA NA NA NA NA NA 77733 77733 81790 81790
ENSMOCG00000016220 51.183923 -0.5648881 0.1432377 0.0000005 0.0000103 101986956 Ankrd55 protein_coding 101986956 Ankrd55 ENSMUSG00000049985 Ankrd55 ortholog_one2one 89.5595 ENSG00000164512 ANKRD55 ortholog_one2one 85.3181 NA NA NA NA NA NA 77318 77318 79722 79722
ENSMOCG00000022606 135.957048 0.3061477 0.0720480 0.0000005 0.0000109 101987618 Zbtb33 protein_coding 101987618 Zbtb33 ENSMUSG00000048047 Zbtb33 ortholog_one2one 90.3077 ENSG00000177485 ZBTB33 ortholog_one2one 89.0769 NA NA NA NA NA NA 56805 56805 10009 10009
ENSMOCG00000006035 60.822337 -0.3973126 0.1006844 0.0000005 0.0000112 101982872 Sync protein_coding 101982872 Sync ENSMUSG00000001333 Sync ortholog_one2one 84.3424 ENSG00000162520 SYNC ortholog_one2one 76.6180 NA NA NA NA NA NA 68828 68828 81493 81493
ENSMOCG00000002589 37.795903 -0.9781889 0.2498518 0.0000005 0.0000114 102002888 Tsnaxip1 protein_coding 102002888 Tsnaxip1 ENSMUSG00000031893 Tsnaxip1 ortholog_one2one 82.6025 ENSG00000102904 TSNAXIP1 ortholog_one2one 76.2376 NA NA NA NA NA NA 72236 72236 55815 55815
ENSMOCG00000017576 47.931382 -0.5799943 0.1477918 0.0000005 0.0000116 101999262 Epb41l4a protein_coding 101999262 Epb41l4a ENSMUSG00000024376 Epb41l4a ortholog_one2one 96.2099 ENSG00000129595 EPB41L4A ortholog_one2one 93.8775 NA NA NA NA NA NA 13824 13824 64097 64097
ENSMOCG00000017575 248.539356 -0.2611369 0.0595122 0.0000005 0.0000116 101982579 Plekha7 protein_coding 101982579 Plekha7 ENSMUSG00000045659 Plekha7 ortholog_one2one 94.9316 ENSG00000166689 PLEKHA7 ortholog_one2one 89.7023 NA NA NA NA NA NA 233765 233765 144100 144100
ENSMOCG00000011265 63.291716 -0.6607851 0.1657069 0.0000006 0.0000123 101978950 Ninj2 protein_coding 101978950 Ninj2 ENSMUSG00000041377 Ninj2 ortholog_one2one 75.1938 ENSG00000171840 NINJ2 ortholog_one2one 81.3953 NA NA NA NA NA NA 29862 29862 4815 4815
ENSMOCG00000019745 25.911929 -0.8663011 0.2161352 0.0000006 0.0000123 101986536 Tmprss5 protein_coding 101986536 Tmprss5 ENSMUSG00000032268 Tmprss5 ortholog_one2one 84.3882 ENSG00000166682 TMPRSS5 ortholog_one2one 75.5274 NA NA NA NA NA NA 80893 80893 80975 80975
ENSMOCG00000015647 900.049004 -0.2544112 0.0580743 0.0000006 0.0000128 102001907 Inpp5f protein_coding 102001907 Inpp5f ENSMUSG00000042105 Inpp5f ortholog_one2one 91.4311 ENSG00000198825 INPP5F ortholog_one2one 90.4594 NA NA NA NA NA NA 101490 101490 22876 22876
ENSMOCG00000001279 79.080436 -0.3856753 0.0980560 0.0000006 0.0000130 101982612 Dll1 protein_coding 101982612 Dll1 ENSMUSG00000014773 Dll1 ortholog_one2one 94.5355 ENSG00000198719 DLL1 ortholog_one2one 89.0710 NA NA NA NA NA NA 13388 13388 28514 28514
ENSMOCG00000010258 417.646800 -0.2577274 0.0590803 0.0000006 0.0000132 101982087 Vwa8 protein_coding 101982087 Vwa8 ENSMUSG00000058997 Vwa8 ortholog_one2one 89.6296 ENSG00000102763 VWA8 ortholog_one2one 85.4497 NA NA NA NA NA NA 219189 219189 23078 23078
ENSMOCG00000011108 11.410217 -1.1380338 0.3144238 0.0000006 0.0000133 101999452 Hebp2 protein_coding 101999452 Hebp2 ENSMUSG00000019853 Hebp2 ortholog_one2one 88.7805 ENSG00000051620 HEBP2 ortholog_one2one 82.4390 NA NA NA NA NA NA 56016 56016 23593 23593
ENSMOCG00000001376 172.050231 0.2748445 0.0638712 0.0000007 0.0000136 101984940 Zfp786 protein_coding 101984940 Zfp786 ENSMUSG00000051499 Zfp786 ortholog_one2one 77.9085 ENSG00000197362 ZNF786 ortholog_one2one 63.6601 NA NA NA NA NA NA 330301 330301 136051 136051
ENSMOCG00000019543 123.137032 -0.2995453 0.0711260 0.0000007 0.0000136 101979396 Fchsd1 protein_coding 101979396 Fchsd1 ENSMUSG00000038524 Fchsd1 ortholog_one2one 95.6395 ENSG00000197948 FCHSD1 ortholog_one2one 90.6977 NA NA NA NA NA NA 319262 319262 89848 89848
ENSMOCG00000004294 1312.545490 -0.3215850 0.0779156 0.0000007 0.0000136 NA Bcas1 protein_coding NA Bcas1 ENSMUSG00000013523 Bcas1 ortholog_one2one 77.4194 ENSG00000064787 BCAS1 ortholog_one2one 65.1952 NA NA NA NA NA NA 76960 76960 8537 8537
ENSMOCG00000009571 1309.879319 0.2648851 0.0611996 0.0000007 0.0000138 101994457 Dpy19l3 protein_coding 101994457 Dpy19l3 ENSMUSG00000043671 Dpy19l3 ortholog_one2one 95.1117 ENSG00000178904 DPY19L3 ortholog_one2one 87.4302 NA NA NA NA NA NA 233115 233115 147991 147991
ENSMOCG00000016717 272.444129 -0.3122710 0.0753669 0.0000007 0.0000146 101986509 Lrrc23 protein_coding 101986509 Lrrc23 ENSMUSG00000030125 Lrrc23 ortholog_one2one 86.5889 ENSG00000010626 LRRC23 ortholog_one2one 80.1749 NA NA NA NA NA NA 16977 16977 10233 10233
ENSMOCG00000003233 438.068184 0.2562827 0.0591407 0.0000007 0.0000149 101982023 Homer1 protein_coding 101982023 Homer1 ENSMUSG00000007617 Homer1 ortholog_one2one 93.7838 ENSG00000152413 HOMER1 ortholog_one2one 93.7838 NA NA NA NA NA NA 26556 26556 9456 9456
ENSMOCG00000012526 2820.952329 0.2943725 0.0700117 0.0000007 0.0000150 101995635 Sgsm2 protein_coding 101995635 Sgsm2 ENSMUSG00000038351 Sgsm2 ortholog_one2one 95.7143 ENSG00000141258 SGSM2 ortholog_one2one 93.4286 NA NA NA NA NA NA 97761 97761 9905 9905
ENSMOCG00000021403 141.240387 -0.4828263 0.1276010 0.0000007 0.0000150 101991388 Ppp1r14a protein_coding 101991388 Ppp1r14a ENSMUSG00000037166 Ppp1r14a ortholog_one2one 70.0680 ENSG00000167641 PPP1R14A ortholog_one2one 85.0340 NA NA NA NA NA NA 68458 68458 94274 94274
ENSMOCG00000016851 78.350132 -0.4088046 0.1064767 0.0000008 0.0000151 101984336 Nkx2-2 protein_coding 101984336 Nkx2-2 ENSMUSG00000027434 Nkx2-2 ortholog_one2one 98.5348 ENSG00000125820 NKX2-2 ortholog_one2one 98.1685 NA NA NA NA NA NA 18088 18088 4821 4821
ENSMOCG00000010463 74.319225 -0.4312080 0.1133177 0.0000008 0.0000152 101999625 Cdc7 protein_coding 101999625 Cdc7 ENSMUSG00000029283 Cdc7 ortholog_one2one 84.9732 ENSG00000097046 CDC7 ortholog_one2one 81.5742 NA NA NA NA NA NA 12545 12545 8317 8317
ENSMOCG00000016398 77.750308 -1.0555152 0.2870842 0.0000008 0.0000156 101986421 protein_coding 101986421 NA ENSG00000213213 CCDC183 ortholog_one2one 78.2772 NA NA NA NA NA NA NA NA 84960 84960
ENSMOCG00000020174 303.441973 -0.3372619 0.0837716 0.0000008 0.0000157 101996879 Paqr7 protein_coding 101996879 Paqr7 ENSMUSG00000037348 Paqr7 ortholog_one2one 91.8841 ENSG00000182749 PAQR7 ortholog_one2one 85.2174 NA NA NA NA NA NA 71904 71904 164091 164091
ENSMOCG00000013709 101.860722 -0.3626902 0.0923446 0.0000008 0.0000165 101994500 Mcc protein_coding 101994500 Mcc ENSMUSG00000071856 Mcc ortholog_one2one 95.6132 ENSG00000171444 MCC ortholog_one2one 94.0179 NA NA NA NA NA NA 328949 328949 4163 4163
ENSMOCG00000015215 17.153288 -1.1214167 0.3174566 0.0000009 0.0000176 101990584 protein_coding 101990584 ENSMUSG00000015787 Abo ortholog_one2many 74.1667 ENSG00000175164 ABO ortholog_one2many 68.0556 NA NA NA NA NA NA 80908 80908 28 28
ENSMOCG00000017004 2183.420345 0.2841119 0.0677360 0.0000009 0.0000178 101992505 Syt6 protein_coding 101992505 Syt6 ENSMUSG00000027849 Syt6 ortholog_one2one 97.0817 ENSG00000134207 SYT6 ortholog_one2one 95.1362 NA NA NA NA NA NA 54524 54524 148281 148281
ENSMOCG00000001842 107.763796 -0.2793430 0.0663429 0.0000009 0.0000179 101986409 Caprin2 protein_coding 101986409 Caprin2 ENSMUSG00000030309 Caprin2 ortholog_one2one 84.3040 ENSG00000110888 CAPRIN2 ortholog_one2one 78.6772 NA NA NA NA NA NA 232560 232560 65981 65981
ENSMOCG00000016200 15771.470879 0.2586792 0.0605014 0.0000009 0.0000180 102000616 Ddn protein_coding 102000616 Ddn ENSMUSG00000059213 Ddn ortholog_one2one 86.0399 ENSG00000181418 DDN ortholog_one2one 77.7778 NA NA NA NA NA NA 13199 13199 23109 23109
ENSMOCG00000002553 11.778028 -1.0642576 0.2950354 0.0000009 0.0000180 101986419 protein_coding 101986419 NA ENSG00000167523 SPATA33 ortholog_one2one 53.6232 NA NA NA NA NA NA NA NA 124045 124045
ENSMOCG00000014313 279.905685 -0.3241393 0.0803654 0.0000009 0.0000183 101991110 Hapln2 protein_coding 101991110 Hapln2 ENSMUSG00000004894 Hapln2 ortholog_one2one 95.0147 ENSG00000132702 HAPLN2 ortholog_one2one 90.6158 NA NA NA NA NA NA 73940 73940 60484 60484
ENSMOCG00000011461 77.900743 -0.4820878 0.1298178 0.0000010 0.0000192 101979037 Rhov protein_coding 101979037 Rhov ENSMUSG00000034226 Rhov ortholog_one2one 98.7288 ENSG00000104140 RHOV ortholog_one2one 97.8814 NA NA NA NA NA NA 228543 228543 171177 171177
ENSMOCG00000018726 128.091329 -0.3313289 0.0829867 0.0000010 0.0000192 101999748 Cnpy4 protein_coding 101999748 Cnpy4 ENSMUSG00000036968 Cnpy4 ortholog_one2one 92.1488 ENSG00000166997 CNPY4 ortholog_one2one 83.8843 NA NA NA NA NA NA 66455 66455 245812 245812
ENSMOCG00000013518 3007.298436 0.2974443 0.0723851 0.0000010 0.0000203 101997673 Syndig1l protein_coding 101997673 Syndig1l ENSMUSG00000071234 Syndig1l ortholog_one2one 90.7173 ENSG00000183379 SYNDIG1L ortholog_one2one 88.1857 NA NA NA NA NA NA 627191 627191 646658 646658
ENSMOCG00000014383 338.777801 0.2704038 0.0643106 0.0000011 0.0000204 101999630 Coro2a protein_coding 101999630 Coro2a ENSMUSG00000028337 Coro2a ortholog_one2one 89.0110 ENSG00000106789 CORO2A ortholog_one2one 82.9670 NA NA NA NA NA NA 107684 107684 7464 7464
ENSMOCG00000000153 196.645230 -0.2970927 0.0726140 0.0000011 0.0000216 101985905 Plin3 protein_coding 101985905 Plin3 ENSMUSG00000024197 Plin3 ortholog_one2one 88.1279 ENSG00000105355 PLIN3 ortholog_one2one 77.8539 NA NA NA NA NA NA 66905 66905 10226 10226
ENSMOCG00000019151 114.303393 0.3302374 0.0833258 0.0000011 0.0000216 101997379 Plekha2 protein_coding 101997379 Plekha2 ENSMUSG00000031557 Plekha2 ortholog_one2one 93.8679 ENSG00000169499 PLEKHA2 ortholog_one2one 89.3868 NA NA NA NA NA NA 83436 83436 59339 59339
ENSMOCG00000014250 20.668134 -0.9365493 0.2519802 0.0000011 0.0000218 101992779 Lgr5 protein_coding 101992779 Lgr5 ENSMUSG00000020140 Lgr5 ortholog_one2one 91.1894 ENSG00000139292 LGR5 ortholog_one2one 86.6740 NA NA NA NA NA NA 14160 14160 8549 8549
ENSMOCG00000017652 503.244888 0.3316443 0.0840787 0.0000012 0.0000227 102000957 Kcnv1 protein_coding 102000957 Kcnv1 ENSMUSG00000022342 Kcnv1 ortholog_one2one 99.2048 ENSG00000164794 KCNV1 ortholog_one2one 95.4274 NA NA NA NA NA NA 67498 67498 27012 27012
ENSMOCG00000022544 246.123212 -0.2770203 0.0668063 0.0000012 0.0000231 101999594 Insyn2b protein_coding 101999594 Insyn2b ENSMUSG00000069911 Insyn2b ortholog_one2one 87.8505 ENSG00000204767 INSYN2B ortholog_one2one 76.0748 NA NA NA NA NA NA 574403 574403 100131897 100131897
ENSMOCG00000012945 122.221353 0.4788636 0.1312851 0.0000013 0.0000242 101999231 Il17rd protein_coding 101999231 Il17rd ENSMUSG00000040717 Il17rd ortholog_one2one 88.2432 ENSG00000144730 IL17RD ortholog_one2one 87.2973 NA NA NA NA NA NA 171463 171463 54756 54756
ENSMOCG00000006373 65.328952 0.4823115 0.1325215 0.0000013 0.0000248 NA protein_coding NA NA ENSG00000197714 ZNF460 ortholog_one2one 51.0753 NA NA NA NA NA NA NA NA 10794 10794
ENSMOCG00000016996 190.012441 -0.2914604 0.0716436 0.0000014 0.0000252 101982346 Acsf3 protein_coding 101982346 Acsf3 ENSMUSG00000015016 Acsf3 ortholog_one2one 90.0697 ENSG00000176715 ACSF3 ortholog_one2one 79.9652 NA NA NA NA NA NA 257633 257633 197322 197322
ENSMOCG00000004940 341.814850 0.2788282 0.0677709 0.0000014 0.0000252 101987516 Abcb1a protein_coding 101987516 Abcb1a ENSMUSG00000040584 Abcb1a ortholog_one2one 91.8431 ENSG00000085563 ABCB1 ortholog_one2many 87.6078 NA NA NA NA NA NA 18671 18671 5243 5243
ENSMOCG00000019392 322.403951 -0.2541106 0.0606230 0.0000014 0.0000254 101993109 Laptm4b protein_coding 101993109 Laptm4b ENSMUSG00000022257 Laptm4b ortholog_one2one 92.5110 ENSG00000104341 LAPTM4B ortholog_one2one 90.3084 NA NA NA NA NA NA 114128 114128 55353 55353
ENSMOCG00000008266 19.860718 -1.3406614 0.4316170 0.0000014 0.0000255 101987906 Ccin protein_coding 101987906 Ccin ENSMUSG00000070999 Ccin ortholog_one2one 97.1088 ENSG00000185972 CCIN ortholog_one2one 92.3469 NA NA NA NA NA NA 442829 442829 881 881
ENSMOCG00000013808 273.329192 0.3059079 0.0763143 0.0000014 0.0000255 101979592 Mrpl48 protein_coding 101979592 Mrpl48 ENSMUSG00000030706 Mrpl48 ortholog_one2one 95.5752 ENSG00000175581 MRPL48 ortholog_one2one 87.6106 NA NA NA NA NA NA 52443 52443 51642 51642
ENSMOCG00000012342 346.029999 0.2858332 0.0700218 0.0000014 0.0000258 101981299 Cables1 protein_coding 101981299 Cables1 ENSMUSG00000040957 Cables1 ortholog_one2one 90.2027 ENSG00000134508 CABLES1 ortholog_one2one 85.8108 NA NA NA NA NA NA 63955 63955 91768 91768
ENSMOCG00000002966 66.411044 0.5029294 0.1391105 0.0000015 0.0000270 101991643 Myof protein_coding 101991643 Myof ENSMUSG00000048612 Myof ortholog_one2one 96.6292 ENSG00000138119 MYOF ortholog_one2one 93.7958 NA NA NA NA NA NA 226101 226101 26509 26509
ENSMOCG00000006589 332.183001 0.2790964 0.0683136 0.0000015 0.0000278 NA Kremen1 protein_coding NA Kremen1 ENSMUSG00000020393 Kremen1 ortholog_one2one 96.0089 ENSG00000183762 KREMEN1 ortholog_one2one 89.3570 NA NA NA NA NA NA 84035 84035 83999 83999
ENSMOCG00000022453 5925.818672 0.2730944 0.0665767 0.0000015 0.0000281 101979976 Arhgap33 protein_coding 101979976 Arhgap33 ENSMUSG00000036882 Arhgap33 ortholog_one2one 94.3382 ENSG00000004777 ARHGAP33 ortholog_one2one 88.7529 NA NA NA NA NA NA 233071 233071 115703 115703
ENSMOCG00000014152 105.976222 -0.5200161 0.1441163 0.0000015 0.0000281 101985437 Car14 protein_coding 101985437 Car14 ENSMUSG00000038526 Car14 ortholog_one2one 91.3947 ENSG00000118298 CA14 ortholog_one2one 83.3828 NA NA NA NA NA NA 23831 23831 23632 23632
ENSMOCG00000006006 301.504893 0.3295868 0.0847926 0.0000015 0.0000281 101982629 Slc40a1 protein_coding 101982629 Slc40a1 ENSMUSG00000025993 Slc40a1 ortholog_one2one 93.2056 ENSG00000138449 SLC40A1 ortholog_one2one 89.0244 NA NA NA NA NA NA 53945 53945 30061 30061
ENSMOCG00000013411 73.779570 -0.4199751 0.1156060 0.0000016 0.0000289 101992875 Odf2l protein_coding 101992875 Odf2l ENSMUSG00000028256 Odf2l ortholog_one2one 84.7352 ENSG00000122417 ODF2L ortholog_one2one 76.0125 NA NA NA NA NA NA 52184 52184 57489 57489
ENSMOCG00000018730 273.484711 -0.2659711 0.0647070 0.0000016 0.0000294 101993004 Sstr1 protein_coding 101993004 Sstr1 ENSMUSG00000035431 Sstr1 ortholog_one2one 98.9770 ENSG00000139874 SSTR1 ortholog_one2one 98.4655 NA NA NA NA NA NA 20605 20605 6751 6751
ENSMOCG00000006475 103.654590 0.8600479 0.2344662 0.0000017 0.0000296 101998268 Sfrp2 protein_coding 101998268 Sfrp2 ENSMUSG00000027996 Sfrp2 ortholog_one2one 99.6610 ENSG00000145423 SFRP2 ortholog_one2one 98.3051 NA NA NA NA NA NA 20319 20319 6423 6423
ENSMOCG00000014373 8.352500 -2.2183014 0.8572868 0.0000017 0.0000296 NA protein_coding NA ENSMUSG00000059070 Rpl18 ortholog_one2many 95.5307 ENSG00000063177 RPL18 ortholog_one2many 92.7374 NA NA NA NA NA NA 19899 19899 6141 6141
ENSMOCG00000021168 332.798409 -0.2559711 0.0619209 0.0000017 0.0000300 101992034 Gdpd2 protein_coding 101992034 Gdpd2 ENSMUSG00000019359 Gdpd2 ortholog_one2one 88.6617 ENSG00000130055 GDPD2 ortholog_one2one 81.9703 NA NA NA NA NA NA 71584 71584 54857 54857
ENSMOCG00000021354 137.197883 0.2965001 0.0743808 0.0000017 0.0000307 NA Cntn5 protein_coding NA Cntn5 ENSMUSG00000039488 Cntn5 ortholog_one2one 95.1848 ENSG00000149972 CNTN5 ortholog_one2one 91.0414 NA NA NA NA NA NA 244682 244682 53942 53942
ENSMOCG00000011074 124.556183 -0.3302208 0.0859711 0.0000018 0.0000322 102001629 Lrp5 protein_coding 102001629 Lrp5 ENSMUSG00000024913 Lrp5 ortholog_one2one 98.0745 ENSG00000162337 LRP5 ortholog_one2one 94.5963 NA NA NA NA NA NA 16973 16973 4041 4041
ENSMOCG00000015816 51.096558 -0.5698542 0.1586500 0.0000018 0.0000322 101979664 Arhgef19 protein_coding 101979664 Arhgef19 ENSMUSG00000028919 Arhgef19 ortholog_one2one 93.5162 ENSG00000142632 ARHGEF19 ortholog_one2one 85.7855 NA NA NA NA NA NA 213649 213649 128272 128272
ENSMOCG00000012722 266.892033 -0.3858903 0.1056089 0.0000019 0.0000335 101992568 protein_coding 101992568 ENSMUSG00000042750 Bex2 ortholog_many2many 84.2520 ENSG00000133169 BEX1 ortholog_many2many 71.6535 ENSMUSG00000042750, ENSMUSG00000042750, ENSMUSG00000050071, ENSMUSG00000050071 Bex2, Bex2, Bex1, Bex1 84.252, 84.252, 77.9528, 77.9528 ENSG00000133169, ENSG00000133169, ENSG00000133134, ENSG00000133134 BEX1, BEX1, BEX2, BEX2 71.6535, 71.6535, 71.6535, 71.6535 12069 12069 55859 55859
ENSMOCG00000010093 60.657950 0.5988802 0.1668548 0.0000020 0.0000348 NA Snord47 snoRNA NA Snord47 ENSMUSG00000064968 Snord47 ortholog_one2one 92.3077 NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000018160 166.418615 -0.5311904 0.1499270 0.0000020 0.0000348 101981215 Nrp2 protein_coding 101981215 Nrp2 ENSMUSG00000025969 Nrp2 ortholog_one2one 96.4363 ENSG00000118257 NRP2 ortholog_one2one 94.6004 NA NA NA NA NA NA 18187 18187 8828 8828
ENSMOCG00000002108 503.173838 -0.2610605 0.0640338 0.0000020 0.0000348 101986189 protein_coding 101986189 ENSMUSG00000025287 Acot9 ortholog_one2many 88.6364 ENSG00000123130 ACOT9 ortholog_one2one 84.7727 ENSMUSG00000025287, ENSMUSG00000047565 Acot9, Acot10 88.6364, 86.8182 ENSG00000123130, ENSG00000123130 ACOT9, ACOT9 84.7727, 84.7727 56360 56360 23597 23597
ENSMOCG00000003197 32.878605 -0.4769859 0.1351277 0.0000020 0.0000351 101995363 Ldlrap1 protein_coding 101995363 Ldlrap1 ENSMUSG00000037295 Ldlrap1 ortholog_one2one 94.7883 ENSG00000157978 LDLRAP1 ortholog_one2one 87.9479 NA NA NA NA NA NA 100017 100017 26119 26119
ENSMOCG00000012137 94.437126 -0.8164052 0.2248792 0.0000020 0.0000352 101986547 Arhgap36 protein_coding 101986547 Arhgap36 ENSMUSG00000036198 Arhgap36 ortholog_one2one 81.4672 ENSG00000147256 ARHGAP36 ortholog_one2one 78.5714 NA NA NA NA NA NA 75404 75404 158763 158763
ENSMOCG00000022613 259.039472 0.2550306 0.0623825 0.0000021 0.0000356 101985752 Rpusd3 protein_coding 101985752 Rpusd3 ENSMUSG00000051169 Rpusd3 ortholog_one2one 84.5930 ENSG00000156990 RPUSD3 ortholog_one2one 72.0930 NA NA NA NA NA NA 101122 101122 285367 285367
ENSMOCG00000006246 45.903406 0.6061103 0.1691807 0.0000021 0.0000358 NA SNORD81 snoRNA NA SNORD81 ENSMUSG00000065228 Gm25789 ortholog_one2many 90.9091 ENSG00000202023 SNORD81 ortholog_one2many 85.7143 ENSMUSG00000065228, ENSMUSG00000065228, ENSMUSG00000065228, ENSMUSG00000064573, ENSMUSG00000064573, ENSMUSG00000064573 Gm25789, Gm25789, Gm25789, Gm25802, Gm25802, Gm25802 90.9091, 90.9091, 90.9091, 87.013, 87.013, 87.013 ENSG00000202023, ENSG00000202023, ENSG00000199934, ENSG00000199934, ENSG00000212278, ENSG00000212278 SNORD81, SNORD81, SNORD81, SNORD81, SNORD81, SNORD81 85.7143, 85.7143, 84.4156, 84.4156, 72.7273, 72.7273 115487640 115487640 124900235 124900235
ENSMOCG00000009101 505.040390 -0.3596112 0.0971009 0.0000021 0.0000361 101997876 Plekhh1 protein_coding 101997876 Plekhh1 ENSMUSG00000060716 Plekhh1 ortholog_one2one 91.3717 ENSG00000054690 PLEKHH1 ortholog_one2one 83.5546 NA NA NA NA NA NA 211945 211945 57475 57475
ENSMOCG00000001571 913.214873 -0.2763687 0.0689839 0.0000022 0.0000371 102000272 Enpp2 protein_coding 102000272 Enpp2 ENSMUSG00000022425 Enpp2 ortholog_one2one 96.4989 ENSG00000136960 ENPP2 ortholog_one2one 89.0591 NA NA NA NA NA NA 18606 18606 5168 5168
ENSMOCG00000019650 106.992408 -0.3693793 0.1007877 0.0000022 0.0000372 101999954 Tmem98 protein_coding 101999954 Tmem98 ENSMUSG00000035413 Tmem98 ortholog_one2one 99.5575 ENSG00000006042 TMEM98 ortholog_one2one 98.6726 NA NA NA NA NA NA 103743 103743 26022 26022
ENSMOCG00000004075 329.257725 0.2781419 0.0696524 0.0000022 0.0000378 101980468 Zfp341 protein_coding 101980468 Zfp341 ENSMUSG00000059842 Zfp341 ortholog_one2one 96.5680 ENSG00000131061 ZNF341 ortholog_one2one 90.5325 NA NA NA NA NA NA 228807 228807 84905 84905
ENSMOCG00000010505 17.685967 0.8163389 0.2273565 0.0000023 0.0000386 NA Spata32 protein_coding NA Spata32 ENSMUSG00000044787 Spata32 ortholog_one2one 70.6949 ENSG00000184361 SPATA32 ortholog_one2one 42.9003 NA NA NA NA NA NA 328019 328019 124783 124783
ENSMOCG00000001112 137.495138 -0.2509928 0.0616607 0.0000023 0.0000393 101991490 Zbtb5 protein_coding 101991490 Zbtb5 ENSMUSG00000049657 Zbtb5 ortholog_one2one 95.8209 ENSG00000168795 ZBTB5 ortholog_one2one 93.5821 NA NA NA NA NA NA 230119 230119 9925 9925
ENSMOCG00000000805 292.704487 -0.3205704 0.0840769 0.0000024 0.0000399 101988586 Fa2h protein_coding 101988586 Fa2h ENSMUSG00000033579 Fa2h ortholog_one2one 91.3979 ENSG00000103089 FA2H ortholog_one2one 84.9462 NA NA NA NA NA NA 338521 338521 79152 79152
ENSMOCG00000008741 154.943485 0.2610451 0.0647018 0.0000024 0.0000401 101999974 protein_coding 101999974 NA ENSG00000197312 DDI2 ortholog_one2one 94.5137 NA NA NA NA NA NA NA NA 84301 84301
ENSMOCG00000016833 294.155890 0.2535968 0.0625098 0.0000024 0.0000401 NA protein_coding NA ENSMUSG00000039375 Wdr17 ortholog_one2one 90.6504 ENSG00000150627 WDR17 ortholog_one2one 86.1789 NA NA NA NA NA NA 244484 244484 116966 116966
ENSMOCG00000013748 66.605504 -1.0471148 0.3212985 0.0000025 0.0000416 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000001873 100.369300 0.2870765 0.0730565 0.0000025 0.0000418 101999035 Zbtb41 protein_coding 101999035 Zbtb41 ENSMUSG00000033964 Zbtb41 ortholog_one2one 95.9296 ENSG00000177888 ZBTB41 ortholog_one2one 93.7294 NA NA NA NA NA NA 226470 226470 360023 360023
ENSMOCG00000018061 16.418829 -2.8360859 1.1954505 0.0000025 0.0000419 101997333 Tekt5 protein_coding 101997333 Tekt5 ENSMUSG00000039179 Tekt5 ortholog_one2one 83.3632 ENSG00000153060 TEKT5 ortholog_one2one 73.5241 NA NA NA NA NA NA 70426 70426 146279 146279
ENSMOCG00000018799 263.675829 0.3020873 0.0780863 0.0000025 0.0000420 101991108 Hapln1 protein_coding 101991108 Hapln1 ENSMUSG00000021613 Hapln1 ortholog_one2one 98.0226 ENSG00000145681 HAPLN1 ortholog_one2one 95.1977 NA NA NA NA NA NA 12950 12950 1404 1404
ENSMOCG00000004791 69.975931 -0.6177696 0.1751139 0.0000026 0.0000427 101983755 Grik1 protein_coding 101983755 Grik1 ENSMUSG00000022935 Grik1 ortholog_one2one 99.0364 ENSG00000171189 GRIK1 ortholog_one2one 97.4304 NA NA NA NA NA NA 14805 14805 2897 2897
ENSMOCG00000022770 226.776622 -0.4792656 0.1383297 0.0000026 0.0000429 101991883 Cadps2 protein_coding 101991883 Cadps2 ENSMUSG00000017978 Cadps2 ortholog_one2one 98.2308 ENSG00000081803 CADPS2 ortholog_one2one 95.6154 NA NA NA NA NA NA 320405 320405 93664 93664
ENSMOCG00000017569 139.392941 -0.2855552 0.0729111 0.0000027 0.0000444 102002292 Micall1 protein_coding 102002292 Micall1 ENSMUSG00000033039 Micall1 ortholog_one2one 88.8889 ENSG00000100139 MICALL1 ortholog_one2one 82.2695 NA NA NA NA NA NA 27008 27008 85377 85377
ENSMOCG00000011897 2348.716239 0.2507214 0.0623207 0.0000028 0.0000460 101986407 Rcn1 protein_coding 101986407 Rcn1 ENSMUSG00000005973 Rcn1 ortholog_one2one 97.5385 ENSG00000049449 RCN1 ortholog_one2one 94.7692 NA NA NA NA NA NA 19672 19672 5954 5954
ENSMOCG00000020100 53.110518 0.5217511 0.1514460 0.0000028 0.0000462 101996373 Slc25a24 protein_coding 101996373 Slc25a24 ENSMUSG00000040322 Slc25a24 ortholog_one2one 96.4211 ENSG00000085491 SLC25A24 ortholog_one2one 92.6316 NA NA NA NA NA NA 229731 229731 29957 29957
ENSMOCG00000020925 91.039846 0.3659415 0.1016449 0.0000029 0.0000471 102001314 Nrn1l protein_coding 102001314 Nrn1l ENSMUSG00000044287 Nrn1l ortholog_one2one 93.1677 ENSG00000188038 NRN1L ortholog_one2one 78.2609 NA NA NA NA NA NA 234700 234700 123904 123904
ENSMOCG00000012547 113.216363 -0.3004778 0.0782904 0.0000029 0.0000472 101983964 Cptp protein_coding 101983964 Cptp ENSMUSG00000029073 Cptp ortholog_one2one 83.7963 ENSG00000224051 CPTP ortholog_one2one 76.3889 NA NA NA NA NA NA 79554 79554 80772 80772
ENSMOCG00000000894 108.034307 0.6057978 0.1739842 0.0000029 0.0000473 101986986 protein_coding 101986986 ENSMUSG00000030361 Klrb1a ortholog_many2many 61.8182 ENSG00000111796 KLRB1 ortholog_one2many 45.9091 ENSMUSG00000030361, ENSMUSG00000030325, ENSMUSG00000079298 Klrb1a, Klrb1c, Klrb1b 61.8182, 57.2727, 50.4545 ENSG00000111796, ENSG00000111796, ENSG00000111796 KLRB1, KLRB1, KLRB1 45.9091, 45.9091, 45.9091 17057 17057 3820 3820
ENSMOCG00000020436 125.564212 -0.4492062 0.1304661 0.0000030 0.0000478 101996403 Ccdc40 protein_coding 101996403 Ccdc40 ENSMUSG00000039963 Ccdc40 ortholog_one2one 74.1468 ENSG00000141519 CCDC40 ortholog_one2one 58.8737 NA NA NA NA NA NA 207607 207607 55036 55036
ENSMOCG00000005813 189.522481 -0.3246995 0.0869506 0.0000030 0.0000483 101998326 Igsf3 protein_coding 101998326 Igsf3 ENSMUSG00000042035 Igsf3 ortholog_one2one 96.1345 ENSG00000143061 IGSF3 ortholog_one2one 92.8571 NA NA NA NA NA NA 78908 78908 3321 3321
ENSMOCG00000021359 382.863485 0.3025286 0.0792903 0.0000031 0.0000494 101979131 Oprk1 protein_coding 101979131 Oprk1 ENSMUSG00000025905 Oprk1 ortholog_one2one 94.4737 ENSG00000082556 OPRK1 ortholog_one2one 92.6316 NA NA NA NA NA NA 18387 18387 4986 4986
ENSMOCG00000011577 299.825760 -0.2616468 0.0661569 0.0000032 0.0000517 101979601 Tmem145 protein_coding 101979601 Tmem145 ENSMUSG00000043843 Tmem145 ortholog_one2one 87.4336 ENSG00000167619 TMEM145 ortholog_one2one 81.0620 NA NA NA NA NA NA 330485 330485 284339 284339
ENSMOCG00000001943 230.608059 -0.4815072 0.1417155 0.0000033 0.0000531 101997257 protein_coding 101997257 ENSMUSG00000024747 Aldh1a7 ortholog_one2many 86.7416 ENSG00000165092 ALDH1A1 ortholog_one2many 80.4494 NA NA NA NA NA NA 26358 26358 216 216
ENSMOCG00000002631 85.283463 -0.9855055 0.3043516 0.0000033 0.0000531 101997770 protein_coding 101997770 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000005578 16215.574853 -0.3334726 0.0908728 0.0000034 0.0000536 101987377 Plp1 protein_coding 101987377 Plp1 ENSMUSG00000031425 Plp1 ortholog_one2one 99.6390 ENSG00000123560 PLP1 ortholog_one2one 99.6390 NA NA NA NA NA NA 18823 18823 5354 5354
ENSMOCG00000020102 1064.398752 -0.2914511 0.0760594 0.0000034 0.0000541 101986973 Dner protein_coding 101986973 Dner ENSMUSG00000036766 Dner ortholog_one2one 94.8440 ENSG00000187957 DNER ortholog_one2one 89.5522 NA NA NA NA NA NA 227325 227325 92737 92737
ENSMOCG00000011758 19.763260 -0.9485418 0.2887533 0.0000034 0.0000543 101993645 Prss56 protein_coding 101993645 Prss56 ENSMUSG00000036480 Prss56 ortholog_one2one 89.1486 ENSG00000237412 PRSS56 ortholog_one2one 79.6327 NA NA NA NA NA NA 69453 69453 646960 646960
ENSMOCG00000018532 324.818477 0.2746991 0.0705735 0.0000034 0.0000545 101993487 Csrnp3 protein_coding 101993487 Csrnp3 ENSMUSG00000044647 Csrnp3 ortholog_one2one 96.3211 ENSG00000178662 CSRNP3 ortholog_one2one 92.4749 NA NA NA NA NA NA 77771 77771 80034 80034
ENSMOCG00000017591 19.856935 -0.7159929 0.2069007 0.0000036 0.0000564 101992545 Togaram2 protein_coding 101992545 Togaram2 ENSMUSG00000045761 Togaram2 ortholog_one2one 85.7858 ENSG00000189350 TOGARAM2 ortholog_one2one 72.4725 NA NA NA NA NA NA 320159 320159 165186 165186
ENSMOCG00000003450 71.528080 -0.3389941 0.0934998 0.0000037 0.0000578 101987123 Tmc7 protein_coding 101987123 Tmc7 ENSMUSG00000042246 Tmc7 ortholog_one2one 95.7241 ENSG00000170537 TMC7 ortholog_one2one 90.2069 NA NA NA NA NA NA 209760 209760 79905 79905
ENSMOCG00000004217 19.869416 -0.7300063 0.2119070 0.0000037 0.0000585 NA misc_RNA NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000018206 138.482480 -0.2572029 0.0654835 0.0000038 0.0000591 101988771 Lap3 protein_coding 101988771 Lap3 ENSMUSG00000039682 Lap3 ortholog_one2one 94.7977 ENSG00000002549 LAP3 ortholog_one2one 90.7514 NA NA NA NA NA NA 66988 66988 51056 51056
ENSMOCG00000018193 81.111461 -0.3767782 0.1077699 0.0000038 0.0000595 101980949 Gsdme protein_coding 101980949 Gsdme ENSMUSG00000029821 Gsdme ortholog_one2one 84.0864 ENSG00000105928 GSDME ortholog_one2one 72.1022 NA NA NA NA NA NA 54722 54722 1687 1687
ENSMOCG00000005019 132.244726 -0.3727278 0.1064397 0.0000039 0.0000604 101979415 Hspb6 protein_coding 101979415 Hspb6 ENSMUSG00000036854 Hspb6 ortholog_one2one 95.0617 ENSG00000004776 HSPB6 ortholog_one2one 87.6543 NA NA NA NA NA NA 243912 243912 126393 126393
ENSMOCG00000003735 24.318186 -0.9910876 0.3136665 0.0000039 0.0000608 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000019751 87.525535 -0.3522128 0.0988931 0.0000039 0.0000609 101994009 Zfp395 protein_coding 101994009 Zfp395 ENSMUSG00000034522 Zfp395 ortholog_one2one 92.8287 ENSG00000186918 ZNF395 ortholog_one2one 82.4701 NA NA NA NA NA NA 380912 380912 55893 55893
ENSMOCG00000007505 36.850254 -0.6140144 0.1810686 0.0000040 0.0000618 102000917 Kcns3 protein_coding 102000917 Kcns3 ENSMUSG00000043673 Kcns3 ortholog_one2one 97.5560 ENSG00000170745 KCNS3 ortholog_one2one 94.5010 NA NA NA NA NA NA 238076 238076 3790 3790
ENSMOCG00000015275 142.519936 -0.3102756 0.0840429 0.0000043 0.0000665 102002681 Decr1 protein_coding 102002681 Decr1 ENSMUSG00000028223 Decr1 ortholog_one2one 91.6418 ENSG00000104325 DECR1 ortholog_one2one 82.0896 NA NA NA NA NA NA 67460 67460 1666 1666
ENSMOCG00000000534 23.956552 -0.6469661 0.1914186 0.0000043 0.0000665 NA protein_coding NA ENSMUSG00000116673 A630089N07Rik ortholog_one2many 32.4675 NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000002573 244.381156 -0.3395970 0.0952247 0.0000045 0.0000692 101980965 Celf6 protein_coding 101980965 Celf6 ENSMUSG00000032297 Celf6 ortholog_one2one 96.2578 ENSG00000140488 CELF6 ortholog_one2one 95.2183 NA NA NA NA NA NA 76183 76183 60677 60677
ENSMOCG00000016973 199.676964 -0.2814535 0.0742687 0.0000046 0.0000701 101995862 Gab2 protein_coding 101995862 Gab2 ENSMUSG00000004508 Gab2 ortholog_one2one 95.7614 ENSG00000033327 GAB2 ortholog_one2one 94.3485 NA NA NA NA NA NA 14389 14389 9846 9846
ENSMOCG00000010236 465.246344 -0.5137481 0.1555164 0.0000046 0.0000707 101991744 Minar2 protein_coding 101991744 Minar2 ENSMUSG00000050875 Minar2 ortholog_one2one 87.5648 ENSG00000186367 MINAR2 ortholog_one2one 76.1658 NA NA NA NA NA NA 225583 225583 100127206 100127206
ENSMOCG00000001205 116.088225 -0.3806536 0.1112287 0.0000048 0.0000729 101991159 Tmem125 protein_coding 101991159 Tmem125 ENSMUSG00000050854 Tmem125 ortholog_one2one 92.1296 ENSG00000179178 TMEM125 ortholog_one2one 87.9630 NA NA NA NA NA NA 230678 230678 128218 128218
ENSMOCG00000022307 617.169785 -0.2555771 0.0661244 0.0000049 0.0000740 101995523 Flywch1 protein_coding 101995523 Flywch1 ENSMUSG00000040097 Flywch1 ortholog_one2one 83.6582 ENSG00000059122 FLYWCH1 ortholog_one2one 69.4153 NA NA NA NA NA NA 224613 224613 84256 84256
ENSMOCG00000011853 24.520383 -0.9081328 0.2855795 0.0000050 0.0000761 NA protein_coding NA ENSMUSG00000031340 Gabre ortholog_one2one 82.6772 ENSG00000102287 GABRE ortholog_one2one 68.5039 NA NA NA NA NA NA 14404 14404 2564 2564
ENSMOCG00000012243 42.897888 -0.4405414 0.1333377 0.0000051 0.0000764 101992840 protein_coding 101992840 ENSMUSG00000020389 Cdkl3 ortholog_one2one 100.0000 ENSG00000006837 CDKL3 ortholog_one2one 95.3125 NA NA NA NA NA NA 213084 213084 51265 51265
ENSMOCG00000000440 207.167252 0.2792443 0.0740504 0.0000051 0.0000764 101995459 Trhde protein_coding 101995459 Trhde ENSMUSG00000050663 Trhde ortholog_one2one 96.3938 ENSG00000072657 TRHDE ortholog_one2one 95.9064 NA NA NA NA NA NA 237553 237553 29953 29953
ENSMOCG00000012739 224.817753 0.3071735 0.0841393 0.0000052 0.0000787 101988770 Kdm7a protein_coding 101988770 Kdm7a ENSMUSG00000042599 Kdm7a ortholog_one2one 94.1302 ENSG00000006459 KDM7A ortholog_one2one 90.3949 NA NA NA NA NA NA 338523 338523 80853 80853
ENSMOCG00000020678 285.631756 0.3097280 0.0851414 0.0000053 0.0000793 101998543 Tuba8 protein_coding 101998543 Tuba8 ENSMUSG00000030137 Tuba8 ortholog_one2one 99.7773 ENSG00000183785 TUBA8 ortholog_one2one 99.1091 NA NA NA NA NA NA 53857 53857 51807 51807
ENSMOCG00000016642 697.840138 -0.2857146 0.0765733 0.0000054 0.0000801 101999199 Disp2 protein_coding 101999199 Disp2 ENSMUSG00000040035 Disp2 ortholog_one2one 91.8033 ENSG00000140323 DISP2 ortholog_one2one 78.2414 NA NA NA NA NA NA 214240 214240 85455 85455
ENSMOCG00000014914 10.952332 1.0842563 0.3796644 0.0000054 0.0000803 101998599 protein_coding 101998599 ENSMUSG00000021490 Slc34a1 ortholog_one2one 95.3271 ENSG00000131183 SLC34A1 ortholog_one2one 92.2118 NA NA NA NA NA NA 20505 20505 6569 6569
ENSMOCG00000013879 90.636040 -0.3057258 0.0838564 0.0000055 0.0000812 101979702 Tfb1m protein_coding 101979702 Tfb1m ENSMUSG00000036983 Tfb1m ortholog_one2one 91.5942 ENSG00000029639 TFB1M ortholog_one2one 83.1884 NA NA NA NA NA NA 224481 224481 51106 51106
ENSMOCG00000015445 91.903292 -0.4035983 0.1210959 0.0000055 0.0000819 101983981 Gjc2 protein_coding 101983981 Gjc2 ENSMUSG00000043448 Gjc2 ortholog_one2one 96.2329 ENSG00000198835 GJC2 ortholog_one2one 85.9589 NA NA NA NA NA NA 118454 118454 57165 57165
ENSMOCG00000000058 686.713691 -0.3574402 0.1037450 0.0000056 0.0000826 101980039 Magel2 protein_coding 101980039 Magel2 ENSMUSG00000056972 Magel2 ortholog_one2one 76.3052 ENSG00000254585 MAGEL2 ortholog_one2one 58.8755 NA NA NA NA NA NA 27385 27385 54551 54551
ENSMOCG00000020814 18.204010 -0.7523968 0.2289506 0.0000057 0.0000833 NA Insc protein_coding NA Insc ENSMUSG00000048782 Insc ortholog_one2one 96.8912 ENSG00000188487 INSC ortholog_one2one 86.5285 NA NA NA NA NA NA 233752 233752 387755 387755
ENSMOCG00000014712 231.315492 -0.2721652 0.0722520 0.0000057 0.0000835 NA protein_coding NA ENSMUSG00000001313 Rnd2 ortholog_one2many 99.1189 ENSG00000108830 RND2 ortholog_one2many 98.6784 NA NA NA NA NA NA 11858 11858 8153 8153
ENSMOCG00000013189 156.625413 0.2733670 0.0726545 0.0000057 0.0000835 101986401 Sgk3 protein_coding 101986401 Sgk3 ENSMUSG00000025915 Sgk3 ortholog_one2one 97.3822 ENSG00000104205 SGK3 ortholog_one2one 97.1204 NA NA NA NA NA NA 170755 170755 23678 23678
ENSMOCG00000013660 137.351121 -0.6977902 0.2121001 0.0000058 0.0000846 101981610 Gstm6 protein_coding 101981610 Gstm6 ENSMUSG00000068762 Gstm6 ortholog_one2one 76.6055 ENSG00000134184 GSTM1 ortholog_one2many 79.8165 NA NA NA NA NA NA 14867 14867 2944 2944
ENSMOCG00000018083 54.558121 0.3579883 0.1042789 0.0000058 0.0000852 101982143 Niban1 protein_coding 101982143 Niban1 ENSMUSG00000026483 Niban1 ortholog_one2one 81.3853 ENSG00000135842 NIBAN1 ortholog_one2one 71.9697 NA NA NA NA NA NA 63913 63913 116496 116496
ENSMOCG00000007827 121.122477 -0.3707460 0.1092995 0.0000059 0.0000859 101994740 Snx8 protein_coding 101994740 Snx8 ENSMUSG00000029560 Snx8 ortholog_one2one 97.3856 ENSG00000106266 SNX8 ortholog_one2one 89.3246 NA NA NA NA NA NA 231834 231834 29886 29886
ENSMOCG00000004382 175.945914 -0.4040274 0.1223614 0.0000062 0.0000896 102001478 Smim10l2a protein_coding 102001478 Smim10l2a ENSMUSG00000054850 Smim10l2a ortholog_one2one 93.5897 ENSG00000178947 SMIM10L2A ortholog_one2many 89.7436 ENSMUSG00000054850, ENSMUSG00000054850 Smim10l2a, Smim10l2a 93.5897, 93.5897 ENSG00000178947, ENSG00000196972 SMIM10L2A, SMIM10L2B 89.7436, 89.7436 320237 320237 399668 399668
ENSMOCG00000015335 50.479078 -0.4177429 0.1274430 0.0000062 0.0000897 NA Accs protein_coding NA Accs ENSMUSG00000040272 Accs ortholog_one2one 91.6493 ENSG00000110455 ACCS ortholog_one2one 82.8810 NA NA NA NA NA NA 329470 329470 84680 84680
ENSMOCG00000014246 176.403762 -0.3189844 0.0898490 0.0000063 0.0000920 102001347 Doc2a protein_coding 102001347 Doc2a ENSMUSG00000052301 Doc2a ortholog_one2one 97.2637 ENSG00000149927 DOC2A ortholog_one2one 93.5323 NA NA NA NA NA NA 13446 13446 8448 8448
ENSMOCG00000022488 15.096635 -0.6921829 0.2130034 0.0000065 0.0000937 101990319 Gpr139 protein_coding 101990319 Gpr139 ENSMUSG00000066197 Gpr139 ortholog_one2one 98.2609 ENSG00000180269 GPR139 ortholog_one2one 95.9420 NA NA NA NA NA NA 209776 209776 124274 124274
ENSMOCG00000007539 88.438606 -0.3538033 0.1035529 0.0000065 0.0000937 101982323 F8a protein_coding 101982323 F8a ENSMUSG00000078317 F8a ortholog_one2one 91.5119 ENSG00000277150 F8A3 ortholog_one2many 83.5544 ENSMUSG00000078317, ENSMUSG00000078317, ENSMUSG00000078317 F8a, F8a, F8a 91.5119, 91.5119, 91.5119 ENSG00000277150, ENSG00000288709, ENSG00000288722 F8A3, F8A2, F8A1 83.5544, 83.5544, 83.5544 14070 14070 474384 474384
ENSMOCG00000014489 461.495717 -0.2641765 0.0705071 0.0000068 0.0000978 101990266 Mdga1 protein_coding 101990266 Mdga1 ENSMUSG00000043557 Mdga1 ortholog_one2one 97.3822 ENSG00000112139 MDGA1 ortholog_one2one 96.2304 NA NA NA NA NA NA 74762 74762 266727 266727
ENSMOCG00000010284 2264.915501 -0.4525974 0.1412401 0.0000070 0.0000997 101991040 Slc6a11 protein_coding 101991040 Slc6a11 ENSMUSG00000030307 Slc6a11 ortholog_one2one 99.2038 ENSG00000132164 SLC6A11 ortholog_one2one 95.3822 NA NA NA NA NA NA 243616 243616 6538 6538
ENSMOCG00000007158 152.483896 -0.2927059 0.0807599 0.0000071 0.0001018 101993885 Dtx4 protein_coding 101993885 Dtx4 ENSMUSG00000039982 Dtx4 ortholog_one2one 94.8304 ENSG00000110042 DTX4 ortholog_one2one 92.7302 NA NA NA NA NA NA 207521 207521 23220 23220
ENSMOCG00000000815 25.429298 -0.6092085 0.1904538 0.0000072 0.0001028 101995575 Gbx2 protein_coding 101995575 Gbx2 ENSMUSG00000034486 Gbx2 ortholog_one2one 99.4253 ENSG00000168505 GBX2 ortholog_one2one 97.7011 NA NA NA NA NA NA 14472 14472 2637 2637
ENSMOCG00000014573 19.564617 -1.1089302 0.4166413 0.0000074 0.0001047 102001522 Scrg1 protein_coding 102001522 Scrg1 ENSMUSG00000031610 Scrg1 ortholog_one2one 87.7551 ENSG00000164106 SCRG1 ortholog_one2one 81.6327 NA NA NA NA NA NA 20284 20284 11341 11341
ENSMOCG00000003962 76.435392 0.9628330 0.3299766 0.0000074 0.0001048 NA Capn9 protein_coding NA Capn9 ENSMUSG00000031981 Capn9 ortholog_one2one 88.6686 ENSG00000135773 CAPN9 ortholog_one2one 82.1530 NA NA NA NA NA NA 73647 73647 10753 10753
ENSMOCG00000019598 106.569032 -0.6374623 0.1996243 0.0000075 0.0001059 101988970 Aqp9 protein_coding 101988970 Aqp9 ENSMUSG00000032204 Aqp9 ortholog_one2one 74.2373 ENSG00000103569 AQP9 ortholog_one2one 74.2373 NA NA NA NA NA NA 64008 64008 366 366
ENSMOCG00000001567 338.763583 -0.2773824 0.0757000 0.0000077 0.0001083 101996556 Ednrb protein_coding 101996556 Ednrb ENSMUSG00000022122 Ednrb ortholog_one2one 90.0452 ENSG00000136160 EDNRB ortholog_one2one 85.2941 NA NA NA NA NA NA 13618 13618 1910 1910
ENSMOCG00000001521 30.782734 -0.6368362 0.2003811 0.0000078 0.0001098 101990328 Cdkn1c protein_coding 101990328 Cdkn1c ENSMUSG00000037664 Cdkn1c ortholog_one2one 86.3636 ENSG00000129757 CDKN1C ortholog_one2one 49.7159 NA NA NA NA NA NA 12577 12577 1028 1028
ENSMOCG00000005186 42.898369 -0.4102851 0.1274834 0.0000079 0.0001110 102000106 2410004P03Rik protein_coding 102000106 2410004P03Rik ENSMUSG00000071398 2410004P03Rik ortholog_one2one 60.3015 NA NA NA NA NA NA NA 73667 73667 NA NA
ENSMOCG00000009356 68.415543 -0.4179255 0.1304563 0.0000080 0.0001118 NA misc_RNA NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000000062 102.751277 -0.5217224 0.1662507 0.0000082 0.0001135 101983799 Rnase6 protein_coding 101983799 Rnase6 ENSMUSG00000021880 Rnase6 ortholog_one2one 69.7368 ENSG00000169413 RNASE6 ortholog_one2one 63.8158 NA NA NA NA NA NA 78416 78416 6039 6039
ENSMOCG00000017990 18.085317 -0.7315653 0.2320364 0.0000082 0.0001141 NA protein_coding NA ENSMUSG00000020399 Havcr2 ortholog_one2one 65.4088 ENSG00000135077 HAVCR2 ortholog_one2one 61.0063 NA NA NA NA NA NA 171285 171285 84868 84868
ENSMOCG00000012960 46.194695 -0.5996416 0.1903212 0.0000083 0.0001148 NA Styxl1 protein_coding NA Styxl1 ENSMUSG00000019178 Styxl1 ortholog_one2one 82.5000 ENSG00000127952 STYXL1 ortholog_one2one 65.3571 NA NA NA NA NA NA 76571 76571 51657 51657
ENSMOCG00000019693 97.188549 0.2785115 0.0766842 0.0000085 0.0001175 101999550 Tgfa protein_coding 101999550 Tgfa ENSMUSG00000029999 Tgfa ortholog_one2one 94.3396 ENSG00000163235 TGFA ortholog_one2one 92.4528 NA NA NA NA NA NA 21802 21802 7039 7039
ENSMOCG00000011785 264.979205 -0.5733071 0.1831670 0.0000086 0.0001192 101984512 Ccdc80 protein_coding 101984512 Ccdc80 ENSMUSG00000022665 Ccdc80 ortholog_one2one 89.6515 ENSG00000091986 CCDC80 ortholog_one2one 84.6885 NA NA NA NA NA NA 67896 67896 151887 151887
ENSMOCG00000006173 62.506972 0.4089196 0.1280308 0.0000087 0.0001203 101992617 Rigi protein_coding 101992617 Rigi ENSMUSG00000040296 Rigi ortholog_one2one 86.2694 ENSG00000107201 RIGI ortholog_one2one 78.4974 NA NA NA NA NA NA 230073 230073 23586 23586
ENSMOCG00000013549 27.933192 -0.5924250 0.1895331 0.0000089 0.0001221 101997405 Rrad protein_coding 101997405 Rrad ENSMUSG00000031880 Rrad ortholog_one2one 97.3771 ENSG00000166592 RRAD ortholog_one2one 91.1475 NA NA NA NA NA NA 56437 56437 6236 6236
ENSMOCG00000002881 65.125126 -0.4497321 0.1434920 0.0000090 0.0001231 101986609 Ankrd9 protein_coding 101986609 Ankrd9 ENSMUSG00000037904 Ankrd9 ortholog_one2one 85.8790 ENSG00000156381 ANKRD9 ortholog_one2one 80.1153 NA NA NA NA NA NA 74251 74251 122416 122416
ENSMOCG00000012687 846.540902 -0.2824391 0.0787420 0.0000094 0.0001283 101982904 Sst protein_coding 101982904 Sst ENSMUSG00000004366 Sst ortholog_one2one 99.1379 ENSG00000157005 SST ortholog_one2one 97.4138 NA NA NA NA NA NA 20604 20604 6750 6750
ENSMOCG00000010202 13.178081 0.7890213 0.2581464 0.0000094 0.0001286 101999580 F13b protein_coding 101999580 F13b ENSMUSG00000026368 F13b ortholog_one2one 86.4992 ENSG00000143278 F13B ortholog_one2one 78.0220 NA NA NA NA NA NA 14060 14060 2165 2165
ENSMOCG00000022463 68.877307 -0.3072177 0.0882761 0.0000096 0.0001299 101983772 Tmem163 protein_coding 101983772 Tmem163 ENSMUSG00000026347 Tmem163 ortholog_one2one 97.5694 ENSG00000152128 TMEM163 ortholog_one2one 91.6667 NA NA NA NA NA NA 72160 72160 81615 81615
ENSMOCG00000015274 120.479460 -0.4369937 0.1401656 0.0000099 0.0001331 101979552 Pmp22 protein_coding 101979552 Pmp22 ENSMUSG00000018217 Pmp22 ortholog_one2one 91.2500 ENSG00000109099 PMP22 ortholog_one2one 83.7500 NA NA NA NA NA NA 18858 18858 5376 5376
ENSMOCG00000018409 25.491657 0.7559895 0.2467192 0.0000099 0.0001331 101980456 Otogl protein_coding 101980456 Otogl ENSMUSG00000091455 Otogl ortholog_one2one 92.0928 ENSG00000165899 OTOGL ortholog_one2one 87.6236 NA NA NA NA NA NA 628870 628870 283310 283310
ENSMOCG00000021320 50.240116 -0.3887429 0.1217017 0.0000100 0.0001345 101991603 Bmper protein_coding 101991603 Bmper ENSMUSG00000031963 Bmper ortholog_one2one 95.7664 ENSG00000164619 BMPER ortholog_one2one 92.7007 NA NA NA NA NA NA 73230 73230 168667 168667
ENSMOCG00000003843 445.081631 0.2554074 0.0697980 0.0000104 0.0001393 101995925 Grin2a protein_coding 101995925 Grin2a ENSMUSG00000059003 Grin2a ortholog_one2one 98.0874 ENSG00000183454 GRIN2A ortholog_one2one 94.6038 NA NA NA NA NA NA 14811 14811 2903 2903
ENSMOCG00000004252 158.580681 -0.2637647 0.0727598 0.0000106 0.0001413 101989612 Fbxl14 protein_coding 101989612 Fbxl14 ENSMUSG00000030019 Fbxl14 ortholog_one2one 100.0000 ENSG00000171823 FBXL14 ortholog_one2one 99.7500 NA NA NA NA NA NA 101358 101358 144699 144699
ENSMOCG00000013403 51.952247 -0.6416193 0.2097818 0.0000110 0.0001465 102001167 Myo15b protein_coding 102001167 Myo15b ENSMUSG00000034427 Myo15b ortholog_one2one 79.9266 ENSG00000266714 MYO15B ortholog_one2one 67.0223 NA NA NA NA NA NA 217328 217328 80022 80022
ENSMOCG00000008164 113.574521 -0.2978102 0.0857357 0.0000112 0.0001489 101995674 Ckap4 protein_coding 101995674 Ckap4 ENSMUSG00000046841 Ckap4 ortholog_one2one 83.7563 ENSG00000136026 CKAP4 ortholog_one2one 78.0034 NA NA NA NA NA NA 216197 216197 10970 10970
ENSMOCG00000007684 52.137220 -0.7969581 0.2679699 0.0000112 0.0001491 101985115 Dnah1 protein_coding 101985115 Dnah1 ENSMUSG00000019027 Dnah1 ortholog_one2one 88.9218 ENSG00000114841 DNAH1 ortholog_one2one 85.5482 NA NA NA NA NA NA 110084 110084 25981 25981
ENSMOCG00000008162 59.575843 -0.4538842 0.1483530 0.0000114 0.0001512 101980967 Tmem254 protein_coding 101980967 Tmem254 ENSMUSG00000072676 Tmem254 ortholog_one2one 84.4961 ENSG00000133678 TMEM254 ortholog_one2one 65.1163 NA NA NA NA NA NA 66039 66039 80195 80195
ENSMOCG00000000906 124.476022 -0.3414070 0.1036608 0.0000115 0.0001519 101980503 Brinp3 protein_coding 101980503 Brinp3 ENSMUSG00000035131 Brinp3 ortholog_one2one 98.4334 ENSG00000162670 BRINP3 ortholog_one2one 96.6057 NA NA NA NA NA NA 215378 215378 339479 339479
ENSMOCG00000000254 178.300913 -0.3879569 0.1236294 0.0000122 0.0001608 101999544 Asb4 protein_coding 101999544 Asb4 ENSMUSG00000042607 Asb4 ortholog_one2one 91.6279 ENSG00000005981 ASB4 ortholog_one2one 88.8372 NA NA NA NA NA NA 65255 65255 51666 51666
ENSMOCG00000018320 62.753381 -0.6934091 0.2305786 0.0000124 0.0001622 102001477 Sema3c protein_coding 102001477 Sema3c ENSMUSG00000028780 Sema3c ortholog_one2one 97.4734 ENSG00000075223 SEMA3C ortholog_one2one 96.1436 NA NA NA NA NA NA 20348 20348 10512 10512
ENSMOCG00000021530 26.231833 -0.7643338 0.2581218 0.0000125 0.0001633 101997814 Zmynd10 protein_coding 101997814 Zmynd10 ENSMUSG00000010044 Zmynd10 ortholog_one2one 92.0455 ENSG00000004838 ZMYND10 ortholog_one2one 88.8636 NA NA NA NA NA NA 114602 114602 51364 51364
ENSMOCG00000006805 57.208562 -0.3749878 0.1188974 0.0000129 0.0001678 NA protein_coding NA ENSMUSG00000058056 Palld ortholog_one2one 96.0784 ENSG00000129116 PALLD ortholog_one2one 64.2534 NA NA NA NA NA NA 72333 72333 23022 23022
ENSMOCG00000020379 61.287284 -0.6184622 0.2069722 0.0000134 0.0001734 NA Ifitm10 protein_coding NA Ifitm10 ENSMUSG00000045777 Ifitm10 ortholog_one2one 99.0050 ENSG00000244242 IFITM10 ortholog_one2one 94.0299 NA NA NA NA NA NA 320802 320802 402778 402778
ENSMOCG00000003881 465.211176 -0.4188906 0.1372679 0.0000134 0.0001736 101981243 Lhx6 protein_coding 101981243 Lhx6 ENSMUSG00000026890 Lhx6 ortholog_one2one 98.7245 ENSG00000106852 LHX6 ortholog_one2one 98.7245 NA NA NA NA NA NA 16874 16874 26468 26468
ENSMOCG00000007120 158.584529 -0.4125809 0.1347705 0.0000134 0.0001736 101992041 Col6a2 protein_coding 101992041 Col6a2 ENSMUSG00000020241 Col6a2 ortholog_one2one 97.2710 ENSG00000142173 COL6A2 ortholog_one2one 90.8382 NA NA NA NA NA NA 12834 12834 1292 1292
ENSMOCG00000015807 123.993966 -0.3327583 0.1016582 0.0000137 0.0001761 101981679 Hs3st1 protein_coding 101981679 Hs3st1 ENSMUSG00000051022 Hs3st1 ortholog_one2one 94.8553 ENSG00000002587 HS3ST1 ortholog_one2one 88.1029 NA NA NA NA NA NA 15476 15476 9957 9957
ENSMOCG00000009346 28.188188 -0.5287575 0.1777924 0.0000138 0.0001773 101993248 Adamts19 protein_coding 101993248 Adamts19 ENSMUSG00000053441 Adamts19 ortholog_one2one 90.7346 ENSG00000145808 ADAMTS19 ortholog_one2one 86.7279 NA NA NA NA NA NA 240322 240322 171019 171019
ENSMOCG00000015137 110.149229 0.3015705 0.0888909 0.0000140 0.0001791 101990341 Xrcc4 protein_coding 101990341 Xrcc4 ENSMUSG00000021615 Xrcc4 ortholog_one2one 81.5951 ENSG00000152422 XRCC4 ortholog_one2one 78.2209 NA NA NA NA NA NA 108138 108138 7518 7518
ENSMOCG00000011236 13.971525 -0.6879890 0.2323449 0.0000140 0.0001792 101990940 protein_coding 101990940 ENSMUSG00000029552 Tes ortholog_one2many 93.3014 ENSG00000135269 TES ortholog_one2one 91.1483 ENSMUSG00000029552, ENSMUSG00000068113 Tes, Tesl1 93.3014, 80.3828 ENSG00000135269, ENSG00000135269 TES, TES 91.1483, 91.1483 21753 21753 26136 26136
ENSMOCG00000010139 9.518037 -1.2173321 0.5696638 0.0000141 0.0001799 NA Gbx1 protein_coding NA Gbx1 ENSMUSG00000067724 Gbx1 ortholog_one2one 87.8571 ENSG00000164900 GBX1 ortholog_one2one 77.1429 NA NA NA NA NA NA 231044 231044 2636 2636
ENSMOCG00000005266 105.871984 0.4160573 0.1371870 0.0000145 0.0001850 101994465 Hhatl protein_coding 101994465 Hhatl ENSMUSG00000032523 Hhatl ortholog_one2one 95.2381 ENSG00000010282 HHATL ortholog_one2one 91.2698 NA NA NA NA NA NA 74770 74770 57467 57467
ENSMOCG00000021567 104.119420 0.3001516 0.0888145 0.0000149 0.0001896 101992315 Arl15 protein_coding 101992315 Arl15 ENSMUSG00000042348 Arl15 ortholog_one2one 95.5882 ENSG00000185305 ARL15 ortholog_one2one 96.5686 NA NA NA NA NA NA 218639 218639 54622 54622
ENSMOCG00000006409 205.994791 0.3615019 0.1150328 0.0000152 0.0001938 101981870 St6gal1 protein_coding 101981870 St6gal1 ENSMUSG00000022885 St6gal1 ortholog_one2one 79.9499 ENSG00000073849 ST6GAL1 ortholog_one2one 81.2030 NA NA NA NA NA NA 20440 20440 6480 6480
ENSMOCG00000017657 43.996240 -0.4801475 0.1627468 0.0000155 0.0001966 101993005 Acrbp protein_coding 101993005 Acrbp ENSMUSG00000072770 Acrbp ortholog_one2one 85.2126 ENSG00000111644 ACRBP ortholog_one2one 74.1220 NA NA NA NA NA NA 54137 54137 84519 84519
ENSMOCG00000006100 141.254587 -0.6996432 0.2409974 0.0000159 0.0002015 102002433 Kcnc4 protein_coding 102002433 Kcnc4 ENSMUSG00000027895 Kcnc4 ortholog_one2one 92.6040 ENSG00000116396 KCNC4 ortholog_one2one 91.5254 NA NA NA NA NA NA 99738 99738 3749 3749
ENSMOCG00000018159 365.735730 -0.2643973 0.0757003 0.0000166 0.0002092 101982576 Cygb protein_coding 101982576 Cygb ENSMUSG00000020810 Cygb ortholog_one2one 97.3684 ENSG00000161544 CYGB ortholog_one2one 94.7368 NA NA NA NA NA NA 114886 114886 114757 114757
ENSMOCG00000008829 109.950450 -0.4908988 0.1681103 0.0000168 0.0002104 101993762 Sumf2 protein_coding 101993762 Sumf2 ENSMUSG00000025538 Sumf2 ortholog_one2one 87.0130 ENSG00000129103 SUMF2 ortholog_one2one 77.9221 NA NA NA NA NA NA 67902 67902 25870 25870
ENSMOCG00000002526 118.200977 -0.2793258 0.0814152 0.0000168 0.0002104 101996935 Tprn protein_coding 101996935 Tprn ENSMUSG00000048707 Tprn ortholog_one2one 84.1823 ENSG00000176058 TPRN ortholog_one2one 65.5496 NA NA NA NA NA NA 97031 97031 286262 286262
ENSMOCG00000019653 109.764631 -0.4510088 0.1531042 0.0000167 0.0002104 101981686 Grin2d protein_coding 101981686 Grin2d ENSMUSG00000002771 Grin2d ortholog_one2one 98.1147 ENSG00000105464 GRIN2D ortholog_one2one 96.7793 NA NA NA NA NA NA 14814 14814 2906 2906
ENSMOCG00000018599 1823.308430 -0.2612780 0.0746268 0.0000168 0.0002108 NA Hap1 protein_coding NA Hap1 ENSMUSG00000006930 Hap1 ortholog_one2one 80.7210 ENSG00000173805 HAP1 ortholog_one2one 55.6426 NA NA NA NA NA NA 15114 15114 9001 9001
ENSMOCG00000002718 69.515418 -0.3035706 0.0914256 0.0000172 0.0002155 102000821 Arhgap24 protein_coding 102000821 Arhgap24 ENSMUSG00000057315 Arhgap24 ortholog_one2one 91.5515 ENSG00000138639 ARHGAP24 ortholog_one2one 88.4793 NA NA NA NA NA NA 231532 231532 83478 83478
ENSMOCG00000000941 41.827568 0.3752083 0.1224490 0.0000173 0.0002164 102002593 Samd12 protein_coding 102002593 Samd12 ENSMUSG00000058656 Samd12 ortholog_one2one 93.1677 ENSG00000177570 SAMD12 ortholog_one2one 91.3043 NA NA NA NA NA NA 320679 320679 401474 401474
ENSMOCG00000016826 17.411044 -1.2400783 0.6304920 0.0000176 0.0002190 102000388 Irs4 protein_coding 102000388 Irs4 ENSMUSG00000054667 Irs4 ortholog_one2one 79.9666 ENSG00000133124 IRS4 ortholog_one2one 75.7930 NA NA NA NA NA NA 16370 16370 8471 8471
ENSMOCG00000013997 145.157168 0.2703702 0.0783303 0.0000177 0.0002199 NA Trmt9b protein_coding NA Trmt9b ENSMUSG00000039620 Trmt9b ortholog_one2one 84.0449 ENSG00000250305 TRMT9B ortholog_one2one 70.1124 NA NA NA NA NA NA 319582 319582 57604 57604
ENSMOCG00000015637 535.145949 -0.2859139 0.0844441 0.0000178 0.0002210 101994450 Ttc21b protein_coding 101994450 Ttc21b ENSMUSG00000034848 Ttc21b ortholog_one2one 95.5133 ENSG00000123607 TTC21B ortholog_one2one 84.6388 NA NA NA NA NA NA 73668 73668 79809 79809
ENSMOCG00000001370 15.387758 -2.0053191 1.4375439 0.0000179 0.0002228 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000003283 21.202625 -0.6187859 0.2153005 0.0000183 0.0002267 101997025 Htr1a protein_coding 101997025 Htr1a ENSMUSG00000021721 Htr1a ortholog_one2one 93.8242 ENSG00000178394 HTR1A ortholog_one2one 90.0238 NA NA NA NA NA NA 15550 15550 3350 3350
ENSMOCG00000014029 259.715948 0.2911261 0.0868025 0.0000184 0.0002269 101982514 Enpp1 protein_coding 101982514 Enpp1 ENSMUSG00000037370 Enpp1 ortholog_one2one 85.7773 ENSG00000197594 ENPP1 ortholog_one2one 77.7288 NA NA NA NA NA NA 18605 18605 5167 5167
ENSMOCG00000006438 22.092633 0.5184046 0.1800920 0.0000186 0.0002292 101997595 Plau protein_coding 101997595 Plau ENSMUSG00000021822 Plau ortholog_one2one 80.4245 ENSG00000122861 PLAU ortholog_one2one 72.1698 NA NA NA NA NA NA 18792 18792 5328 5328
ENSMOCG00000015262 79.335833 -0.4361738 0.1491403 0.0000189 0.0002316 101984908 Ak8 protein_coding 101984908 Ak8 ENSMUSG00000026807 Ak8 ortholog_one2one 88.3090 ENSG00000165695 AK8 ortholog_one2one 76.4092 NA NA NA NA NA NA 68870 68870 158067 158067
ENSMOCG00000003014 174.003957 -0.2730655 0.0799772 0.0000193 0.0002364 101986330 protein_coding 101986330 ENSMUSG00000032531 Amotl2 ortholog_one2one 95.8904 ENSG00000114019 AMOTL2 ortholog_one2one 84.4749 NA NA NA NA NA NA 56332 56332 51421 51421
ENSMOCG00000018424 99.593890 0.3833909 0.1276577 0.0000198 0.0002410 101983848 Adat1 protein_coding 101983848 Adat1 ENSMUSG00000031949 Adat1 ortholog_one2one 86.7470 ENSG00000065457 ADAT1 ortholog_one2one 79.9197 NA NA NA NA NA NA 30947 30947 23536 23536
ENSMOCG00000005108 371.149809 0.2875061 0.0859273 0.0000198 0.0002414 101986252 Kcnh4 protein_coding 101986252 Kcnh4 ENSMUSG00000035355 Kcnh4 ortholog_one2one 94.9902 ENSG00000089558 KCNH4 ortholog_one2one 90.0786 NA NA NA NA NA NA 380728 380728 23415 23415
ENSMOCG00000018967 14.927662 -0.8245198 0.3098967 0.0000202 0.0002450 101982817 pseudogene 101982817 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000001477 101.338444 -0.2503186 0.0717977 0.0000203 0.0002453 101981499 Sh2b2 protein_coding 101981499 Sh2b2 ENSMUSG00000005057 Sh2b2 ortholog_one2one 94.5250 ENSG00000160999 SH2B2 ortholog_one2one 85.1852 NA NA NA NA NA NA 23921 23921 10603 10603
ENSMOCG00000010478 2625.028548 0.2537097 0.0731622 0.0000207 0.0002497 101995101 Cttnbp2 protein_coding 101995101 Cttnbp2 ENSMUSG00000000416 Cttnbp2 ortholog_one2one 91.4338 ENSG00000077063 CTTNBP2 ortholog_one2one 85.9052 NA NA NA NA NA NA 30785 30785 83992 83992
ENSMOCG00000020696 97.401380 0.3414347 0.1098152 0.0000210 0.0002531 101999167 Ndst3 protein_coding 101999167 Ndst3 ENSMUSG00000027977 Ndst3 ortholog_one2one 96.9072 ENSG00000164100 NDST3 ortholog_one2one 93.3562 NA NA NA NA NA NA 83398 83398 9348 9348
ENSMOCG00000019765 121.647760 -0.3170975 0.0990154 0.0000211 0.0002531 101983718 Fam181b protein_coding 101983718 Fam181b ENSMUSG00000051515 Fam181b ortholog_one2one 87.6190 ENSG00000182103 FAM181B ortholog_one2one 79.7619 NA NA NA NA NA NA 58238 58238 220382 220382
ENSMOCG00000017803 1161.301734 0.2518025 0.0725738 0.0000211 0.0002531 101989555 protein_coding 101989555 ENSMUSG00000042032 Mat2b ortholog_one2one 98.0831 ENSG00000038274 MAT2B ortholog_one2one 95.2077 NA NA NA NA NA NA 108645 108645 27430 27430
ENSMOCG00000017266 42.638590 0.6957132 0.2499423 0.0000214 0.0002561 101997900 Krt24 protein_coding 101997900 Krt24 ENSMUSG00000020913 Krt24 ortholog_one2one 79.0698 ENSG00000167916 KRT24 ortholog_one2one 70.7364 NA NA NA NA NA NA 75706 75706 192666 192666
ENSMOCG00000020098 16.217892 -0.7988738 0.2997020 0.0000217 0.0002588 NA protein_coding NA ENSMUSG00000028334 Nans ortholog_one2many 90.8587 ENSG00000095380 NANS ortholog_one2many 91.1357 NA NA NA NA NA NA 94181 94181 54187 54187
ENSMOCG00000019374 120.294186 0.2878730 0.0868104 0.0000217 0.0002589 101996689 Slx1b protein_coding 101996689 Slx1b ENSMUSG00000059772 Slx1b ortholog_one2one 90.7407 ENSG00000132207 SLX1A ortholog_one2many 73.7037 ENSMUSG00000059772, ENSMUSG00000059772 Slx1b, Slx1b 90.7407, 90.7407 ENSG00000132207, ENSG00000181625 SLX1A, SLX1B 73.7037, 73.7037 75764 75764 548593, 124907837 548593
ENSMOCG00000021698 322.056586 -0.3528483 0.1152916 0.0000217 0.0002589 101981900 Snap47 protein_coding 101981900 Snap47 ENSMUSG00000009894 Snap47 ortholog_one2one 80.1435 ENSG00000143740 SNAP47 ortholog_one2one 73.6842 NA NA NA NA NA NA 67826 67826 116841 116841
ENSMOCG00000002700 62.519618 0.8438459 0.3268108 0.0000220 0.0002611 NA Hcar2 protein_coding NA Hcar2 ENSMUSG00000045502 Hcar2 ortholog_one2one 89.2265 ENSG00000182782 HCAR2 ortholog_one2many 82.0442 ENSMUSG00000045502, ENSMUSG00000045502 Hcar2, Hcar2 89.2265, 89.2265 ENSG00000182782, ENSG00000255398 HCAR2, HCAR3 82.0442, 79.0055 80885 80885 338442 338442
ENSMOCG00000005304 382.409995 -0.3656226 0.1211957 0.0000220 0.0002611 102001800 Nectin1 protein_coding 102001800 Nectin1 ENSMUSG00000032012 Nectin1 ortholog_one2one 97.4708 ENSG00000110400 NECTIN1 ortholog_one2one 94.7471 NA NA NA NA NA NA 58235 58235 5818 5818
ENSMOCG00000010773 64.770772 0.6812661 0.2451045 0.0000221 0.0002614 101994983 processed_pseudogene 101994983 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000012400 198.918121 0.2581603 0.0752462 0.0000222 0.0002625 101997063 Mtap protein_coding 101997063 Mtap ENSMUSG00000062937 Mtap ortholog_one2one 96.4664 ENSG00000099810 MTAP ortholog_one2one 92.9329 NA NA NA NA NA NA 66902 66902 4507 4507
ENSMOCG00000000888 635.110194 -0.3188108 0.1004950 0.0000227 0.0002676 102002672 Parm1 protein_coding 102002672 Parm1 ENSMUSG00000034981 Parm1 ortholog_one2one 72.7575 ENSG00000169116 PARM1 ortholog_one2one 62.1262 NA NA NA NA NA NA 231440 231440 25849 25849
ENSMOCG00000013174 29.646333 -0.8037691 0.3059328 0.0000230 0.0002714 101998998 Pon3 protein_coding 101998998 Pon3 ENSMUSG00000029759 Pon3 ortholog_one2one 87.2881 ENSG00000105852 PON3 ortholog_one2one 80.7910 NA NA NA NA NA NA 269823 269823 5446 5446
ENSMOCG00000013728 91.076664 -0.2670331 0.0793296 0.0000245 0.0002845 101988812 Syngr2 protein_coding 101988812 Syngr2 ENSMUSG00000048277 Syngr2 ortholog_one2one 92.8571 ENSG00000108639 SYNGR2 ortholog_one2one 86.1607 NA NA NA NA NA NA 20973 20973 9144 9144
ENSMOCG00000011532 79.913050 -0.2954185 0.0915884 0.0000262 0.0003026 102000226 Crhr1 protein_coding 102000226 Crhr1 ENSMUSG00000018634 Crhr1 ortholog_one2one 97.5904 ENSG00000120088 CRHR1 ortholog_one2one 97.5904 NA NA NA NA NA NA 12921 12921 1394, 104909134 1394
ENSMOCG00000003934 37.781040 -0.4528719 0.1619060 0.0000267 0.0003076 101984051 Cbln1 protein_coding 101984051 Cbln1 ENSMUSG00000031654 Cbln1 ortholog_one2one 99.4819 ENSG00000102924 CBLN1 ortholog_one2one 99.4819 NA NA NA NA NA NA 12404 12404 869 869
ENSMOCG00000002870 64.118463 -0.4009309 0.1397218 0.0000268 0.0003085 101988848 Zcchc3 protein_coding 101988848 Zcchc3 ENSMUSG00000074682 Zcchc3 ortholog_one2one 93.1990 ENSG00000247315 ZCCHC3 ortholog_one2one 87.9093 NA NA NA NA NA NA 67917 67917 85364 85364
ENSMOCG00000017850 20.368635 -0.5254503 0.1908291 0.0000269 0.0003094 NA Mettl21c protein_coding NA Mettl21c ENSMUSG00000047343 Mettl21c ortholog_one2one 82.0833 ENSG00000139780 METTL21C ortholog_one2one 80.8333 NA NA NA NA NA NA 433294 433294 196541 196541
ENSMOCG00000007327 211.836636 0.4190622 0.1479057 0.0000272 0.0003120 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000018737 162.913422 0.3230073 0.1048764 0.0000288 0.0003278 NA protein_coding NA ENSMUSG00000020380 Rad50 ortholog_one2one 97.6562 ENSG00000113522 RAD50 ortholog_one2one 95.3125 NA NA NA NA NA NA 19360 19360 10111 10111
ENSMOCG00000016518 117.411161 -0.2991984 0.0943363 0.0000295 0.0003345 101982803 Tspan15 protein_coding 101982803 Tspan15 ENSMUSG00000037031 Tspan15 ortholog_one2one 96.2585 ENSG00000099282 TSPAN15 ortholog_one2one 92.5170 NA NA NA NA NA NA 70423 70423 23555 23555
ENSMOCG00000000089 17.827766 -0.6607420 0.2480752 0.0000301 0.0003405 101983592 Odad4 protein_coding 101983592 Odad4 ENSMUSG00000006784 Odad4 ortholog_one2one 87.2581 ENSG00000204815 ODAD4 ortholog_one2one 82.2581 NA NA NA NA NA NA 74407 74407 83538 83538
ENSMOCG00000014230 43.957102 -0.3554986 0.1206172 0.0000302 0.0003414 101991682 Cep128 protein_coding 101991682 Cep128 ENSMUSG00000061533 Cep128 ortholog_one2one 80.1603 ENSG00000100629 CEP128 ortholog_one2one 80.8617 NA NA NA NA NA NA 75216 75216 145508 145508
ENSMOCG00000015293 33.332435 -0.4536870 0.1645893 0.0000302 0.0003415 102000580 Pou2f3 protein_coding 102000580 Pou2f3 ENSMUSG00000032015 Pou2f3 ortholog_one2one 96.5035 ENSG00000137709 POU2F3 ortholog_one2one 93.2401 NA NA NA NA NA NA 18988 18988 25833 25833
ENSMOCG00000017799 111.497343 0.3933771 0.1386514 0.0000311 0.0003506 101992193 protein_coding 101992193 NA ENSG00000159917 ZNF235 ortholog_one2one 77.2006 NA NA NA NA NA NA NA NA 9310 9310
ENSMOCG00000000221 118.719028 -0.2771857 0.0856549 0.0000325 0.0003635 101983345 Plxdc2 protein_coding 101983345 Plxdc2 ENSMUSG00000026748 Plxdc2 ortholog_one2one 93.7736 ENSG00000120594 PLXDC2 ortholog_one2one 92.0755 NA NA NA NA NA NA 67448 67448 84898 84898
ENSMOCG00000018602 17.892139 -0.7115387 0.2754479 0.0000326 0.0003647 NA Nsun4 protein_coding NA Nsun4 ENSMUSG00000028706 Nsun4 ortholog_one2one 65.8507 NA NA NA NA NA NA NA 72181 72181 NA NA
ENSMOCG00000020950 35.467211 -0.4956641 0.1836107 0.0000327 0.0003651 101999802 Afm protein_coding 101999802 Afm ENSMUSG00000029369 Afm ortholog_one2one 75.2459 ENSG00000079557 AFM ortholog_one2one 62.9508 NA NA NA NA NA NA 280662 280662 173 173
ENSMOCG00000005042 136.759962 -0.3633611 0.1258592 0.0000338 0.0003757 101991194 Shd protein_coding 101991194 Shd ENSMUSG00000039154 Shd ortholog_one2one 82.1212 ENSG00000105251 SHD ortholog_one2one 75.7576 NA NA NA NA NA NA 20420 20420 56961 56961
ENSMOCG00000018127 83.436000 -0.3150735 0.1031483 0.0000344 0.0003812 101994422 Dusp15 protein_coding 101994422 Dusp15 ENSMUSG00000042662 Dusp15 ortholog_one2one 91.3793 ENSG00000149599 DUSP15 ortholog_one2one 90.9483 NA NA NA NA NA NA 252864 252864 128853 128853
ENSMOCG00000016476 109.811267 -0.2639289 0.0807803 0.0000351 0.0003887 102002600 Bmp7 protein_coding 102002600 Bmp7 ENSMUSG00000008999 Bmp7 ortholog_one2one 99.3023 ENSG00000101144 BMP7 ortholog_one2one 97.6744 NA NA NA NA NA NA 12162 12162 655 655
ENSMOCG00000014319 254.444087 -0.3260737 0.1086816 0.0000354 0.0003909 101989204 Glra2 protein_coding 101989204 Glra2 ENSMUSG00000018589 Glra2 ortholog_one2one 96.2472 ENSG00000101958 GLRA2 ortholog_one2one 95.8057 NA NA NA NA NA NA 237213 237213 2742 2742
ENSMOCG00000014248 195.261726 0.2664921 0.0819596 0.0000357 0.0003935 102000770 Zfp488 protein_coding 102000770 Zfp488 ENSMUSG00000044519 Zfp488 ortholog_one2one 72.7003 ENSG00000265763 ZNF488 ortholog_one2one 49.8516 NA NA NA NA NA NA 382867 382867 118738 118738
ENSMOCG00000002172 71.570685 -0.4254714 0.1557600 0.0000362 0.0003970 101997411 Rprm protein_coding 101997411 Rprm ENSMUSG00000075334 Rprm ortholog_one2one 99.0826 ENSG00000177519 RPRM ortholog_one2one 98.1651 NA NA NA NA NA NA 67874 67874 56475 56475
ENSMOCG00000013379 117.797250 -0.3858373 0.1376442 0.0000364 0.0003993 101996609 Nr2f1 protein_coding 101996609 Nr2f1 ENSMUSG00000069171 Nr2f1 ortholog_one2one 100.0000 ENSG00000175745 NR2F1 ortholog_one2one 99.5238 NA NA NA NA NA NA 13865 13865 7025 7025
ENSMOCG00000020781 264.085738 -0.2778019 0.0870239 0.0000370 0.0004040 102001810 5730455P16Rik protein_coding 102001810 5730455P16Rik ENSMUSG00000057181 5730455P16Rik ortholog_one2one 93.5897 ENSG00000108666 C17orf75 ortholog_one2one 87.9487 NA NA NA NA NA NA 70591 70591 64149 64149
ENSMOCG00000012587 237.700184 -0.3367846 0.1145006 0.0000374 0.0004088 101996570 Hes5 protein_coding 101996570 Hes5 ENSMUSG00000048001 Hes5 ortholog_one2one 93.3735 ENSG00000197921 HES5 ortholog_one2one 89.7590 NA NA NA NA NA NA 15208 15208 388585 388585
ENSMOCG00000013928 457.774777 -0.2627058 0.0807833 0.0000375 0.0004088 NA protein_coding NA NA ENSG00000174748 RPL15 ortholog_one2many 97.8947 NA NA NA NA NA NA NA NA 6138 6138
ENSMOCG00000018797 101.835270 0.3962005 0.1434871 0.0000386 0.0004199 101987843 Ttc12 protein_coding 101987843 Ttc12 ENSMUSG00000040219 Ttc12 ortholog_one2one 85.7955 ENSG00000149292 TTC12 ortholog_one2one 77.4148 NA NA NA NA NA NA 235330 235330 54970 54970
ENSMOCG00000015348 84.754417 0.4133164 0.1515627 0.0000389 0.0004221 101979926 Snapc5 protein_coding 101979926 Snapc5 ENSMUSG00000032398 Snapc5 ortholog_one2one 87.7551 ENSG00000174446 SNAPC5 ortholog_one2one 84.6939 NA NA NA NA NA NA 330959 330959 10302 10302
ENSMOCG00000021518 236.008180 -0.3053235 0.1000226 0.0000392 0.0004255 101998013 Fgf11 protein_coding 101998013 Fgf11 ENSMUSG00000042826 Fgf11 ortholog_one2one 99.1111 ENSG00000161958 FGF11 ortholog_one2one 96.8889 NA NA NA NA NA NA 14166 14166 2256 2256
ENSMOCG00000004580 169.007242 0.2928763 0.0943876 0.0000397 0.0004304 102000458 Zfp661 protein_coding 102000458 Zfp661 ENSMUSG00000034800 Zfp661 ortholog_one2one 79.8144 ENSG00000275111 ZNF2 ortholog_one2one 76.3341 NA NA NA NA NA NA 72180 72180 7549 7549
ENSMOCG00000019682 358.676040 -0.5078590 0.1938709 0.0000405 0.0004364 101983450 Gpr101 protein_coding 101983450 Gpr101 ENSMUSG00000036357 Gpr101 ortholog_one2one 69.6607 ENSG00000165370 GPR101 ortholog_one2one 69.2615 NA NA NA NA NA NA 245424 245424 83550 83550
ENSMOCG00000002225 338.709389 0.9997742 0.5382361 0.0000407 0.0004380 101980084 processed_pseudogene 101980084 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000002420 37.736897 -0.6083812 0.2387745 0.0000430 0.0004597 NA snoRNA NA ENSMUSG00000064417 DQ267102 ortholog_one2many 83.3333 ENSG00000200150 ortholog_one2many 59.7222 NA NA NA NA NA NA 100861572 100861572 124903418 124903418
ENSMOCG00000015351 17.707350 -0.6242515 0.2465701 0.0000436 0.0004654 102001092 Tuft1 protein_coding 102001092 Tuft1 ENSMUSG00000005968 Tuft1 ortholog_one2one 90.2564 ENSG00000143367 TUFT1 ortholog_one2one 88.7179 NA NA NA NA NA NA 22156 22156 7286 7286
ENSMOCG00000012534 42.258085 -0.5237137 0.2026812 0.0000437 0.0004660 101994493 Miip protein_coding 101994493 Miip ENSMUSG00000029022 Miip ortholog_one2one 75.8442 ENSG00000116691 MIIP ortholog_one2one 58.7013 NA NA NA NA NA NA 28010 28010 60672 60672
ENSMOCG00000015490 43.829391 -0.5241278 0.2030854 0.0000441 0.0004694 NA Ddx11 protein_coding NA Ddx11 ENSMUSG00000035842 Ddx11 ortholog_one2one 88.8644 ENSG00000013573 DDX11 ortholog_one2one 79.3826 NA NA NA NA NA NA 320209 320209 1663 1663
ENSMOCG00000019022 55.289443 -0.3668932 0.1316982 0.0000445 0.0004739 101985248 protein_coding 101985248 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000022101 23.823481 -0.6760933 0.2734925 0.0000451 0.0004795 101993738 Jchain protein_coding 101993738 Jchain ENSMUSG00000067149 Jchain ortholog_one2one 82.5000 ENSG00000132465 JCHAIN ortholog_one2one 74.3750 NA NA NA NA NA NA 16069 16069 3512 3512
ENSMOCG00000006710 225.338597 -0.2659577 0.0838121 0.0000459 0.0004869 101992082 Ccdc85a protein_coding 101992082 Ccdc85a ENSMUSG00000032878 Ccdc85a ortholog_one2one 95.2294 ENSG00000055813 CCDC85A ortholog_one2one 93.0275 NA NA NA NA NA NA 216613 216613 114800 114800
ENSMOCG00000005064 15.947093 -0.7188184 0.2986720 0.0000462 0.0004897 101990144 MC4R protein_coding 101990144 MC4R ENSMUSG00000047259 Mc4r ortholog_one2one 96.9880 ENSG00000166603 MC4R ortholog_one2one 95.1807 NA NA NA NA NA NA 17202 17202 4160 4160
ENSMOCG00000004277 112.938155 0.2508090 0.0776762 0.0000469 0.0004948 101982585 protein_coding 101982585 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000017444 24.561731 -0.5815960 0.2307501 0.0000479 0.0005037 NA protein_coding NA ENSMUSG00000031730 Dhodh ortholog_one2one 95.6835 ENSG00000102967 DHODH ortholog_one2one 89.2086 NA NA NA NA NA NA 56749 56749 1723 1723
ENSMOCG00000009021 141.970380 0.2809602 0.0908415 0.0000481 0.0005051 101985372 Rerg protein_coding 101985372 Rerg ENSMUSG00000030222 Rerg ortholog_one2one 99.4975 ENSG00000134533 RERG ortholog_one2one 97.9900 NA NA NA NA NA NA 232441 232441 85004 85004
ENSMOCG00000007454 114.276164 -0.3117617 0.1055342 0.0000485 0.0005086 101997358 Nqo2 protein_coding 101997358 Nqo2 ENSMUSG00000046949 Nqo2 ortholog_one2one 90.0433 ENSG00000124588 NQO2 ortholog_one2one 80.5195 NA NA NA NA NA NA 18105 18105 4835 4835
ENSMOCG00000021675 49.852649 0.5313835 0.2097212 0.0000496 0.0005184 101991688 Gask1b protein_coding 101991688 Gask1b ENSMUSG00000027955 Gask1b ortholog_one2one 88.9961 ENSG00000164125 GASK1B ortholog_one2one 82.8185 NA NA NA NA NA NA 68659 68659 51313 51313
ENSMOCG00000005238 137.929212 0.2981980 0.0992257 0.0000496 0.0005184 NA Galnt14 protein_coding NA Galnt14 ENSMUSG00000024064 Galnt14 ortholog_one2one 96.8460 ENSG00000158089 GALNT14 ortholog_one2one 91.8367 NA NA NA NA NA NA 71685 71685 79623 79623
ENSMOCG00000003317 17.421747 -0.5136932 0.2034229 0.0000522 0.0005425 102002368 Ttc22 protein_coding 102002368 Ttc22 ENSMUSG00000034919 Ttc22 ortholog_one2one 87.1750 ENSG00000006555 TTC22 ortholog_one2one 82.1490 NA NA NA NA NA NA 230576 230576 55001 55001
ENSMOCG00000003788 123.074771 -0.2809607 0.0916504 0.0000522 0.0005425 101983435 Ccdc184 protein_coding 101983435 Ccdc184 ENSMUSG00000029875 Ccdc184 ortholog_one2one 93.8144 ENSG00000177875 CCDC184 ortholog_one2one 92.2680 NA NA NA NA NA NA 239650 239650 387856 387856
ENSMOCG00000017009 23.275304 0.6036066 0.2447690 0.0000529 0.0005483 101979423 protein_coding 101979423 NA ENSG00000171217 CLDN20 ortholog_one2one 76.2557 NA NA NA NA NA NA NA NA 49861 49861
ENSMOCG00000004622 4673.733645 0.2515082 0.0789069 0.0000529 0.0005483 101986788 Copg1 protein_coding 101986788 Copg1 ENSMUSG00000030058 Copg1 ortholog_one2one 99.5423 ENSG00000181789 COPG1 ortholog_one2one 97.2540 NA NA NA NA NA NA 54161 54161 22820 22820
ENSMOCG00000004719 88.637546 -0.2586403 0.0819187 0.0000531 0.0005496 101999357 Tbcc protein_coding 101999357 Tbcc ENSMUSG00000036430 Tbcc ortholog_one2one 89.1176 ENSG00000124659 TBCC ortholog_one2one 77.0588 NA NA NA NA NA NA 72726 72726 6903 6903
ENSMOCG00000017740 802.326255 -0.2637060 0.0843731 0.0000548 0.0005655 101983066 Extl2 protein_coding 101983066 Extl2 ENSMUSG00000027963 Extl2 ortholog_one2one 89.7281 ENSG00000162694 EXTL2 ortholog_one2one 84.5921 NA NA NA NA NA NA 58193 58193 2135 2135
ENSMOCG00000014578 16.746027 -0.8751449 0.4451461 0.0000549 0.0005657 101998526 Npas1 protein_coding 101998526 Npas1 ENSMUSG00000001988 Npas1 ortholog_one2one 94.1176 ENSG00000130751 NPAS1 ortholog_one2one 86.2185 NA NA NA NA NA NA 18142 18142 4861 4861
ENSMOCG00000010156 350.673592 0.2704906 0.0875382 0.0000558 0.0005749 101982722 Golga5 protein_coding 101982722 Golga5 ENSMUSG00000021192 Golga5 ortholog_one2one 89.8491 ENSG00000066455 GOLGA5 ortholog_one2one 85.7339 NA NA NA NA NA NA 27277 27277 9950 9950
ENSMOCG00000018487 50.726689 -0.3281091 0.1159206 0.0000574 0.0005896 101995335 Slc30a10 protein_coding 101995335 Slc30a10 ENSMUSG00000026614 Slc30a10 ortholog_one2one 86.8922 ENSG00000196660 SLC30A10 ortholog_one2one 79.7040 NA NA NA NA NA NA 226781 226781 55532 55532
ENSMOCG00000013659 61.096284 -0.4433385 0.1737776 0.0000577 0.0005920 101992839 Serpinf1 protein_coding 101992839 Serpinf1 ENSMUSG00000000753 Serpinf1 ortholog_one2one 94.9640 ENSG00000132386 SERPINF1 ortholog_one2one 86.8106 NA NA NA NA NA NA 20317 20317 5176 5176
ENSMOCG00000005382 92.641082 -0.2842115 0.0942405 0.0000580 0.0005939 101990399 1700017B05Rik protein_coding 101990399 1700017B05Rik ENSMUSG00000032300 1700017B05Rik ortholog_one2one 87.2798 ENSG00000167173 C15orf39 ortholog_one2one 75.8317 NA NA NA NA NA NA 74211 74211 56905 56905
ENSMOCG00000013111 100.086050 -0.3692769 0.1381492 0.0000610 0.0006192 102000777 Coro6 protein_coding 102000777 Coro6 ENSMUSG00000020836 Coro6 ortholog_one2one 94.4798 ENSG00000167549 CORO6 ortholog_one2one 92.9936 NA NA NA NA NA NA 216961 216961 84940 84940
ENSMOCG00000016707 51.090210 -0.4776758 0.1919532 0.0000623 0.0006312 101994744 Lrrc46 protein_coding 101994744 Lrrc46 ENSMUSG00000020878 Lrrc46 ortholog_one2one 78.1538 ENSG00000141294 LRRC46 ortholog_one2one 70.4615 NA NA NA NA NA NA 69297 69297 90506 90506
ENSMOCG00000022333 24.867187 0.4255599 0.1675626 0.0000640 0.0006446 101993767 Pdf protein_coding 101993767 Pdf ENSMUSG00000078931 Pdf ortholog_one2one 86.1472 ENSG00000258429 PDF ortholog_one2one 77.4892 NA NA NA NA NA NA 68023 68023 64146 64146
ENSMOCG00000009724 167.432576 0.2634448 0.0856739 0.0000641 0.0006452 101980118 Fyco1 protein_coding 101980118 Fyco1 ENSMUSG00000025241 Fyco1 ortholog_one2one 87.5466 ENSG00000163820 FYCO1 ortholog_one2one 78.0015 NA NA NA NA NA NA 17281 17281 79443 79443
ENSMOCG00000012066 184.011528 0.2524942 0.0809146 0.0000643 0.0006465 101992975 Ankrd33b protein_coding 101992975 Ankrd33b ENSMUSG00000022237 Ankrd33b ortholog_one2one 89.6050 ENSG00000164236 ANKRD33B ortholog_one2one 77.5468 NA NA NA NA NA NA 67434 67434 651746 651746
ENSMOCG00000010244 120.549546 -0.3056649 0.1066476 0.0000678 0.0006777 NA protein_coding NA ENSMUSG00000052981 Ube2ql1 ortholog_one2one 86.3309 ENSG00000215218 UBE2QL1 ortholog_one2one 86.3309 NA NA NA NA NA NA 76980 76980 134111 134111
ENSMOCG00000015441 183.393329 -0.3094331 0.1088120 0.0000689 0.0006880 101985485 Cntrl protein_coding 101985485 Cntrl ENSMUSG00000057110 Cntrl ortholog_one2one 86.4240 ENSG00000119397 CNTRL ortholog_one2one 81.2848 NA NA NA NA NA NA 26920 26920 11064 11064
ENSMOCG00000011501 192.887659 -0.3508847 0.1307338 0.0000693 0.0006911 101988500 Nptx2 protein_coding 101988500 Nptx2 ENSMUSG00000059991 Nptx2 ortholog_one2one 97.4537 ENSG00000106236 NPTX2 ortholog_one2one 95.6019 NA NA NA NA NA NA 53324 53324 4885 4885
ENSMOCG00000005124 67.137320 -0.4398752 0.1769655 0.0000705 0.0007009 101982727 Ret protein_coding 101982727 Ret ENSMUSG00000030110 Ret ortholog_one2one 90.6643 ENSG00000165731 RET ortholog_one2one 85.1885 NA NA NA NA NA NA 19713 19713 5979 5979
ENSMOCG00000020902 26.522989 0.4900402 0.2021175 0.0000722 0.0007162 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000007382 25.116582 -0.4716309 0.1936264 0.0000733 0.0007267 101980208 Fndc10 protein_coding 101980208 Fndc10 ENSMUSG00000074738 Fndc10 ortholog_one2one 93.2735 ENSG00000228594 FNDC10 ortholog_one2one 84.3049 NA NA NA NA NA NA 230991 230991 643988 643988
ENSMOCG00000019385 19.900891 -0.8571588 0.4770240 0.0000742 0.0007341 101991263 Dgkk protein_coding 101991263 Dgkk ENSMUSG00000062393 Dgkk ortholog_one2one 78.8151 ENSG00000274588 DGKK ortholog_one2one 73.2495 NA NA NA NA NA NA 331374 331374 139189 139189
ENSMOCG00000003523 58.496626 -0.3614970 0.1377631 0.0000749 0.0007395 101979946 Pyroxd2 protein_coding 101979946 Pyroxd2 ENSMUSG00000060224 Pyroxd2 ortholog_one2one 90.5336 ENSG00000119943 PYROXD2 ortholog_one2one 85.0258 NA NA NA NA NA NA 74580 74580 84795 84795
ENSMOCG00000018328 360.430658 0.2637174 0.0873156 0.0000751 0.0007410 101996435 Slc35d3 protein_coding 101996435 Slc35d3 ENSMUSG00000050473 Slc35d3 ortholog_one2one 92.1801 ENSG00000182747 SLC35D3 ortholog_one2one 91.9431 NA NA NA NA NA NA 76157 76157 340146 340146
ENSMOCG00000019350 86.954641 -0.4498437 0.1836311 0.0000753 0.0007423 101990904 Col14a1 protein_coding 101990904 Col14a1 ENSMUSG00000022371 Col14a1 ortholog_one2one 95.5481 ENSG00000187955 COL14A1 ortholog_one2one 89.8164 NA NA NA NA NA NA 12818 12818 7373 7373
ENSMOCG00000015540 101.438496 -0.2836127 0.0969455 0.0000761 0.0007468 NA Sema6c protein_coding NA Sema6c ENSMUSG00000038777 Sema6c ortholog_one2one 92.7336 ENSG00000143434 SEMA6C ortholog_one2one 86.3898 NA NA NA NA NA NA 20360 20360 10500 10500
ENSMOCG00000013465 53.505249 -0.5782300 0.2477121 0.0000761 0.0007470 101983430 Fuom protein_coding 101983430 Fuom ENSMUSG00000025466 Fuom ortholog_one2one 77.7778 ENSG00000148803 FUOM ortholog_one2one 83.6601 NA NA NA NA NA NA 69064 69064 282969 282969
ENSMOCG00000015032 71.080724 -0.2517148 0.0821301 0.0000768 0.0007526 NA protein_coding NA NA ENSG00000169740 ZNF32 ortholog_one2many 88.3117 NA NA NA NA NA NA NA NA 7580 7580
ENSMOCG00000004510 46.150194 -0.3276267 0.1203046 0.0000785 0.0007668 101988585 Ctsh protein_coding 101988585 Ctsh ENSMUSG00000032359 Ctsh ortholog_one2one 83.2335 ENSG00000103811 CTSH ortholog_one2one 79.9401 NA NA NA NA NA NA 13036 13036 1512 1512
ENSMOCG00000020373 98.988203 -0.2816383 0.0964186 0.0000791 0.0007721 101979568 Aldh3b1 protein_coding 101979568 Aldh3b1 ENSMUSG00000024885 Aldh3b1 ortholog_one2one 91.4530 ENSG00000006534 ALDH3B1 ortholog_one2one 83.1197 NA NA NA NA NA NA 67689 67689 221 221
ENSMOCG00000008169 289.238331 -0.2539561 0.0835635 0.0000806 0.0007849 101993657 Sox2 protein_coding 101993657 Sox2 ENSMUSG00000074637 Sox2 ortholog_one2one 99.6865 ENSG00000181449 SOX2 ortholog_one2one 97.8056 NA NA NA NA NA NA 20674 20674 6657 6657
ENSMOCG00000016024 27.548773 -0.4171517 0.1695309 0.0000833 0.0008072 101996043 Egflam protein_coding 101996043 Egflam ENSMUSG00000042961 Egflam ortholog_one2one 85.0099 ENSG00000164318 EGFLAM ortholog_one2one 81.0651 NA NA NA NA NA NA 268780 268780 133584 133584
ENSMOCG00000008662 10.852101 -0.7047793 0.3329540 0.0000839 0.0008109 101987649 protein_coding 101987649 ENSMUSG00000022949 Clic6 ortholog_one2one 97.1429 ENSG00000159212 CLIC6 ortholog_one2one 96.1905 NA NA NA NA NA NA 209195 209195 54102 54102
ENSMOCG00000015561 49.154334 -0.3361063 0.1261239 0.0000846 0.0008171 101997434 Sgsh protein_coding 101997434 Sgsh ENSMUSG00000005043 Sgsh ortholog_one2one 92.0319 ENSG00000181523 SGSH ortholog_one2one 87.8486 NA NA NA NA NA NA 27029 27029 6448 6448
ENSMOCG00000020681 32.463321 0.3422341 0.1296258 0.0000852 0.0008218 101987879 Otc protein_coding 101987879 Otc ENSMUSG00000031173 Otc ortholog_one2one 95.7627 ENSG00000036473 OTC ortholog_one2one 92.6554 NA NA NA NA NA NA 18416 18416 5009 5009
ENSMOCG00000008654 41.499051 0.3095929 0.1119131 0.0000857 0.0008250 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000000650 105.563226 -0.2774674 0.0953574 0.0000863 0.0008306 101979890 Invs protein_coding 101979890 Invs ENSMUSG00000028344 Invs ortholog_one2one 88.1179 ENSG00000119509 INVS ortholog_one2one 81.4639 NA NA NA NA NA NA 16348 16348 27130 27130
ENSMOCG00000012344 1011.071459 -0.2577317 0.0863595 0.0000903 0.0008623 101996310 Ndrg1 protein_coding 101996310 Ndrg1 ENSMUSG00000005125 Ndrg1 ortholog_one2one 98.7310 ENSG00000104419 NDRG1 ortholog_one2one 93.9086 NA NA NA NA NA NA 17988 17988 10397 10397
ENSMOCG00000019978 57.181258 -0.4468638 0.1873683 0.0000911 0.0008694 101978948 Rassf4 protein_coding 101978948 Rassf4 ENSMUSG00000042129 Rassf4 ortholog_one2one 93.7500 ENSG00000107551 RASSF4 ortholog_one2one 86.8750 NA NA NA NA NA NA 213391 213391 83937 83937
ENSMOCG00000016831 96.155966 -0.2950168 0.1050795 0.0000916 0.0008731 101999247 Galk1 protein_coding 101999247 Galk1 ENSMUSG00000020766 Galk1 ortholog_one2one 93.6225 ENSG00000108479 GALK1 ortholog_one2one 91.0714 NA NA NA NA NA NA 14635 14635 2584 2584
ENSMOCG00000006390 58.427572 -0.3716532 0.1472849 0.0000918 0.0008748 102001376 Mthfd2l protein_coding 102001376 Mthfd2l ENSMUSG00000029376 Mthfd2l ortholog_one2one 93.7870 ENSG00000163738 MTHFD2L ortholog_one2one 87.8698 NA NA NA NA NA NA 665563 665563 441024 441024
ENSMOCG00000008385 56.027336 -0.7513031 0.3894940 0.0000953 0.0009042 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000002738 16.598586 -0.5013962 0.2173333 0.0000961 0.0009091 101993330 Gas1 protein_coding 101993330 Gas1 ENSMUSG00000052957 Gas1 ortholog_one2one 95.0292 ENSG00000180447 GAS1 ortholog_one2one 85.6725 NA NA NA NA NA NA 14451 14451 2619 2619
ENSMOCG00000022989 97.259050 -0.4423327 0.1866370 0.0000965 0.0009120 NA Sspo protein_coding NA Sspo ENSMUSG00000029797 Sspo ortholog_one2one 84.6907 NA NA NA NA NA NA NA 243369 243369 NA NA
ENSMOCG00000014106 14.491658 0.6591551 0.3132670 0.0001005 0.0009446 101980271 Arhgap40 protein_coding 101980271 Arhgap40 ENSMUSG00000074625 Arhgap40 ortholog_one2one 86.1813 ENSG00000124143 ARHGAP40 ortholog_one2one 72.0654 NA NA NA NA NA NA 545481 545481 343578 343578
ENSMOCG00000015195 1957.500285 0.3505670 0.1373250 0.0001006 0.0009453 101983070 Cfap54 protein_coding 101983070 Cfap54 ENSMUSG00000020014 Cfap54 ortholog_one2one 81.1351 ENSG00000188596 CFAP54 ortholog_one2one 73.1135 NA NA NA NA NA NA 380654 380654 144535 144535
ENSMOCG00000010410 72.748876 0.2705641 0.0937257 0.0001010 0.0009487 NA Slc25a30 protein_coding NA Slc25a30 ENSMUSG00000022003 Slc25a30 ortholog_one2one 95.8477 ENSG00000174032 SLC25A30 ortholog_one2one 92.7336 NA NA NA NA NA NA 67554 67554 253512 253512
ENSMOCG00000001947 1096.857084 -0.3313429 0.1269214 0.0001033 0.0009681 101988427 Cldn11 protein_coding 101988427 Cldn11 ENSMUSG00000037625 Cldn11 ortholog_one2one 100.0000 ENSG00000013297 CLDN11 ortholog_one2one 94.2029 NA NA NA NA NA NA 18417 18417 5010 5010
ENSMOCG00000020565 59.833958 -0.4323142 0.1833996 0.0001039 0.0009723 101996482 Dlec1 protein_coding 101996482 Dlec1 ENSMUSG00000038060 Dlec1 ortholog_one2one 80.8511 ENSG00000008226 DLEC1 ortholog_one2one 74.1806 NA NA NA NA NA NA 320256 320256 9940 9940
ENSMOCG00000000763 11.120983 0.8022477 0.4713361 0.0001044 0.0009762 NA Stkld1 protein_coding NA Stkld1 ENSMUSG00000049897 Stkld1 ortholog_one2one 77.6758 ENSG00000198870 STKLD1 ortholog_one2one 57.1865 NA NA NA NA NA NA 279029 279029 169436 169436
ENSMOCG00000018461 38.792181 -0.6851857 0.3381491 0.0001056 0.0009864 101988318 P2ry2 protein_coding 101988318 P2ry2 ENSMUSG00000032860 P2ry2 ortholog_one2one 92.5729 ENSG00000175591 P2RY2 ortholog_one2one 88.0637 NA NA NA NA NA NA 18442 18442 5029 5029
ENSMOCG00000001544 24.984976 0.6246784 0.2932799 0.0001065 0.0009929 101998583 Crispld1 protein_coding 101998583 Crispld1 ENSMUSG00000025776 Crispld1 ortholog_one2one 96.8000 ENSG00000121005 CRISPLD1 ortholog_one2one 95.0000 NA NA NA NA NA NA 83691 83691 83690 83690
ENSMOCG00000020649 70.405427 -0.3123888 0.1170459 0.0001086 0.0010083 101998234 Pdlim2 protein_coding 101998234 Pdlim2 ENSMUSG00000022090 Pdlim2 ortholog_one2one 87.1429 ENSG00000120913 PDLIM2 ortholog_one2one 77.7143 NA NA NA NA NA NA 213019 213019 64236 64236
ENSMOCG00000019376 50.997669 0.3005120 0.1105974 0.0001098 0.0010183 101992358 protein_coding 101992358 NA ENSG00000105497 ZNF175 ortholog_one2one 48.9149 NA NA NA NA NA NA NA NA 7728 7728
ENSMOCG00000018170 26.497521 -0.4017259 0.1683295 0.0001108 0.0010266 NA protein_coding NA ENSMUSG00000069170 Adgrv1 ortholog_one2many 94.6541 ENSG00000164199 ADGRV1 ortholog_one2many 90.8805 NA NA NA NA NA NA 110789 110789 84059 84059
ENSMOCG00000009483 93.940463 0.2894261 0.1051235 0.0001145 0.0010570 101989759 Gpx7 protein_coding 101989759 Gpx7 ENSMUSG00000028597 Gpx7 ortholog_one2one 91.9355 ENSG00000116157 GPX7 ortholog_one2one 87.0968 NA NA NA NA NA NA 67305 67305 2882 2882
ENSMOCG00000004265 14.183216 1.1022171 1.4772398 0.0001149 0.0010599 101989304 Cyp7a1 protein_coding 101989304 Cyp7a1 ENSMUSG00000028240 Cyp7a1 ortholog_one2one 88.4462 ENSG00000167910 CYP7A1 ortholog_one2one 81.4741 NA NA NA NA NA NA 13122 13122 1581 1581
ENSMOCG00000017592 15.507378 -0.4995464 0.2237588 0.0001169 0.0010748 101998186 Crb2 protein_coding 101998186 Crb2 ENSMUSG00000035403 Crb2 ortholog_one2one 85.1214 ENSG00000148204 CRB2 ortholog_one2one 75.9593 NA NA NA NA NA NA 241324 241324 286204 286204
ENSMOCG00000022796 192.411058 -0.3774684 0.1560652 0.0001178 0.0010822 101987980 Kyat3 protein_coding 101987980 Kyat3 ENSMUSG00000040213 Kyat3 ortholog_one2one 88.3260 ENSG00000137944 KYAT3 ortholog_one2one 85.4626 NA NA NA NA NA NA 229905 229905 56267 56267
ENSMOCG00000021151 128.569165 0.2759080 0.0985769 0.0001204 0.0011026 101997047 Mmrn2 protein_coding 101997047 Mmrn2 ENSMUSG00000041445 Mmrn2 ortholog_one2one 79.7682 ENSG00000173269 MMRN2 ortholog_one2one 65.5427 NA NA NA NA NA NA 105450 105450 79812 79812
ENSMOCG00000013839 15.499249 0.6803963 0.3472700 0.0001207 0.0011034 101997729 Krt77 protein_coding 101997729 Krt77 ENSMUSG00000067594 Krt77 ortholog_one2one 83.5664 ENSG00000189182 KRT77 ortholog_one2one 75.6993 NA NA NA NA NA NA 406220 406220 374454 374454
ENSMOCG00000016578 37.147599 0.4908482 0.2211702 0.0001237 0.0011267 101979845 Sstr2 protein_coding 101979845 Sstr2 ENSMUSG00000047904 Sstr2 ortholog_one2one 96.4770 ENSG00000180616 SSTR2 ortholog_one2one 92.1409 NA NA NA NA NA NA 20606 20606 6752 6752
ENSMOCG00000017341 74.053529 -0.2833870 0.1029366 0.0001238 0.0011267 101989353 Scarf2 protein_coding 101989353 Scarf2 ENSMUSG00000012017 Scarf2 ortholog_one2one 91.7167 ENSG00000244486 SCARF2 ortholog_one2one 89.3157 NA NA NA NA NA NA 224024 224024 91179 91179
ENSMOCG00000010879 30.783165 -0.3465111 0.1395495 0.0001263 0.0011425 101989646 Apoc1 protein_coding 101989646 Apoc1 ENSMUSG00000040564 Apoc1 ortholog_one2one 82.9545 ENSG00000130208 APOC1 ortholog_one2one 64.7727 NA NA NA NA NA NA 11812 11812 341 341
ENSMOCG00000011710 59.463166 0.3156739 0.1215706 0.0001273 0.0011496 101985239 Pgm5 protein_coding 101985239 Pgm5 ENSMUSG00000041731 Pgm5 ortholog_one2one 98.9418 ENSG00000154330 PGM5 ortholog_one2one 97.5309 NA NA NA NA NA NA 226041 226041 5239 5239
ENSMOCG00000017300 106.250858 0.2611583 0.0916788 0.0001274 0.0011496 NA Pcdhga5 protein_coding NA Pcdhga5 ENSMUSG00000103567 Pcdhga5 ortholog_one2one 89.4242 ENSG00000253485 PCDHGA5 ortholog_one2one 79.3185 NA NA NA NA NA NA 93713 93713 56110 56110
ENSMOCG00000020669 116.996051 -0.2683134 0.0955981 0.0001303 0.0011705 101990635 Ubxn2a protein_coding 101990635 Ubxn2a ENSMUSG00000020634 Ubxn2a ortholog_one2one 93.4109 ENSG00000173960 UBXN2A ortholog_one2one 86.8217 NA NA NA NA NA NA 217379 217379 165324 165324
ENSMOCG00000011716 21.456847 -0.3965579 0.1696658 0.0001305 0.0011713 NA Katnal2 protein_coding NA Katnal2 ENSMUSG00000025420 Katnal2 ortholog_one2one 88.1633 ENSG00000167216 KATNAL2 ortholog_one2one 84.0816 NA NA NA NA NA NA 71206 71206 83473 83473
ENSMOCG00000004480 37.130533 0.3288773 0.1300230 0.0001322 0.0011853 NA U6 snRNA NA U6 ENSMUSG00000087871 Gm26101 ortholog_one2one 61.7647 ENSG00000252755 RNU6-703P ortholog_one2one 83.3333 NA NA NA NA NA NA 115487250 115487250 NA NA
ENSMOCG00000015947 80.495653 -0.2721779 0.0978735 0.0001329 0.0011902 101999545 Aass protein_coding 101999545 Aass ENSMUSG00000029695 Aass ortholog_one2one 95.2484 ENSG00000008311 AASS ortholog_one2one 87.3650 NA NA NA NA NA NA 30956 30956 10157 10157
ENSMOCG00000012567 131.215244 -0.3972239 0.1706318 0.0001333 0.0011919 101992874 Ankrd35 protein_coding 101992874 Ankrd35 ENSMUSG00000038354 Ankrd35 ortholog_one2one 88.4189 ENSG00000198483 ANKRD35 ortholog_one2one 81.7724 NA NA NA NA NA NA 213121 213121 148741 148741
ENSMOCG00000011264 11.659147 -0.7193056 0.4024714 0.0001338 0.0011953 101985030 Rab37 protein_coding 101985030 Rab37 ENSMUSG00000020732 Rab37 ortholog_one2one 97.7579 ENSG00000172794 RAB37 ortholog_one2one 95.0673 NA NA NA NA NA NA 58222 58222 326624 326624
ENSMOCG00000019767 23.579478 0.5759463 0.2756973 0.0001339 0.0011957 101989091 protein_coding 101989091 NA ENSG00000162482 AKR7A3 ortholog_one2one 78.3217 NA NA NA NA NA NA NA NA 22977 22977
ENSMOCG00000008613 74.815510 0.2853062 0.1052692 0.0001357 0.0012096 NA Clmp protein_coding NA Clmp ENSMUSG00000032024 Clmp ortholog_one2one 96.7742 ENSG00000166250 CLMP ortholog_one2one 93.0107 NA NA NA NA NA NA 71566 71566 79827 79827
ENSMOCG00000022707 199.072618 -0.2649190 0.0946264 0.0001389 0.0012341 101996325 Kcnc2 protein_coding 101996325 Kcnc2 ENSMUSG00000035681 Kcnc2 ortholog_one2one 93.7008 ENSG00000166006 KCNC2 ortholog_one2one 91.9685 NA NA NA NA NA NA 268345 268345 3747 3747
ENSMOCG00000009133 56.269317 -0.2779111 0.1016409 0.0001400 0.0012421 101991589 Hrh1 protein_coding 101991589 Hrh1 ENSMUSG00000053004 Hrh1 ortholog_one2one 88.8660 ENSG00000196639 HRH1 ortholog_one2one 79.5876 NA NA NA NA NA NA 15465 15465 3269 3269
ENSMOCG00000003491 14.241890 -0.5525258 0.2645889 0.0001434 0.0012679 101994008 Gnrh1 protein_coding 101994008 Gnrh1 ENSMUSG00000015812 Gnrh1 ortholog_one2one 84.4444 ENSG00000147437 GNRH1 ortholog_one2one 73.3333 NA NA NA NA NA NA 14714 14714 2796 2796
ENSMOCG00000005703 89.417087 -0.2593039 0.0921849 0.0001442 0.0012741 101980820 Lingo2 protein_coding 101980820 Lingo2 ENSMUSG00000045083 Lingo2 ortholog_one2one 97.6898 ENSG00000174482 LINGO2 ortholog_one2one 97.1947 NA NA NA NA NA NA 242384 242384 158038 158038
ENSMOCG00000013870 132.839121 -0.2568746 0.0911353 0.0001465 0.0012919 101993996 Plgrkt protein_coding 101993996 Plgrkt ENSMUSG00000016495 Plgrkt ortholog_one2one 87.0748 ENSG00000107020 PLGRKT ortholog_one2one 82.9932 NA NA NA NA NA NA 67759 67759 55848 55848
ENSMOCG00000006437 201.368345 -0.3708109 0.1575603 0.0001472 0.0012966 101985618 Paqr6 protein_coding 101985618 Paqr6 ENSMUSG00000041423 Paqr6 ortholog_one2one 88.3382 ENSG00000160781 PAQR6 ortholog_one2one 89.2128 NA NA NA NA NA NA 68957 68957 79957 79957
ENSMOCG00000005464 19.324607 -0.4410435 0.2000417 0.0001510 0.0013225 101991896 Gpr62 protein_coding 101991896 Gpr62 ENSMUSG00000091735 Gpr62 ortholog_one2one 89.5480 ENSG00000180929 GPR62 ortholog_one2one 83.6158 NA NA NA NA NA NA 436090 436090 118442 118442
ENSMOCG00000008690 17.536944 -0.4925677 0.2305443 0.0001515 0.0013256 101980838 Tmem132c protein_coding 101980838 Tmem132c ENSMUSG00000034324 Tmem132c ortholog_one2one 90.8964 ENSG00000181234 TMEM132C ortholog_one2one 80.3922 NA NA NA NA NA NA 208213 208213 92293 92293
ENSMOCG00000012933 15.370067 -0.5388522 0.2597471 0.0001538 0.0013420 101999874 Cfap73 protein_coding 101999874 Cfap73 ENSMUSG00000094282 Cfap73 ortholog_one2one 61.0390 ENSG00000186710 CFAP73 ortholog_one2one 69.4805 NA NA NA NA NA NA 546886 546886 387885 387885
ENSMOCG00000015590 12.703253 -0.5613151 0.2751894 0.0001556 0.0013539 101986637 Zc3h12d protein_coding 101986637 Zc3h12d ENSMUSG00000039981 Zc3h12d ortholog_one2one 81.3559 ENSG00000178199 ZC3H12D ortholog_one2one 64.0301 NA NA NA NA NA NA 237256 237256 340152 340152
ENSMOCG00000021805 30.166042 -0.6243330 0.3240751 0.0001579 0.0013709 101979158 protein_coding 101979158 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000012270 71.427545 -0.4053287 0.1807845 0.0001605 0.0013917 101996135 protein_coding 101996135 ENSMUSG00000033036 Ppihl ortholog_many2many 100.0000 ENSG00000171960 PPIH ortholog_one2many 100.0000 ENSMUSG00000033036, ENSMUSG00000060288 Ppihl, Ppih 100, 88.8235 ENSG00000171960, ENSG00000171960 PPIH, PPIH 100, 100 NA NA 10465 10465
ENSMOCG00000008555 15.683078 -0.5968544 0.3030837 0.0001606 0.0013917 NA Podn protein_coding NA Podn ENSMUSG00000028600 Podn ortholog_one2one 89.6203 ENSG00000174348 PODN ortholog_one2one 88.1013 NA NA NA NA NA NA 242608 242608 127435 127435
ENSMOCG00000016456 30.369313 -0.3290081 0.1339842 0.0001606 0.0013917 101986901 Clec11a protein_coding 101986901 Clec11a ENSMUSG00000004473 Clec11a ortholog_one2one 86.5443 ENSG00000105472 CLEC11A ortholog_one2one 78.8991 NA NA NA NA NA NA 20256 20256 6320 6320
ENSMOCG00000009308 22.172142 -0.4867283 0.2304956 0.0001640 0.0014144 101979730 Myo3b protein_coding 101979730 Myo3b ENSMUSG00000042064 Myo3b ortholog_one2one 90.1321 ENSG00000071909 MYO3B ortholog_one2one 86.7133 NA NA NA NA NA NA 329421 329421 140469 140469
ENSMOCG00000009018 97.850822 -0.2524536 0.0901916 0.0001638 0.0014144 101984322 Nnat protein_coding 101984322 Nnat ENSMUSG00000067786 Nnat ortholog_one2one 75.0000 NA NA NA NA NA NA NA 18111 18111 NA NA
ENSMOCG00000004455 24.416383 -0.6975122 0.4150904 0.0001698 0.0014578 101990775 Cdhr4 protein_coding 101990775 Cdhr4 ENSMUSG00000032595 Cdhr4 ortholog_one2one 81.3452 ENSG00000187492 CDHR4 ortholog_one2one 71.5736 NA NA NA NA NA NA 69398 69398 389118 389118
ENSMOCG00000003297 12.250206 -0.6072883 0.3161986 0.0001699 0.0014580 101997414 Nxph2 protein_coding 101997414 Nxph2 ENSMUSG00000069132 Nxph2 ortholog_one2one 90.8046 ENSG00000144227 NXPH2 ortholog_one2one 95.0192 NA NA NA NA NA NA 18232 18232 11249 11249
ENSMOCG00000012957 30.403948 -0.4688958 0.2215803 0.0001716 0.0014712 101994190 Col8a2 protein_coding 101994190 Col8a2 ENSMUSG00000056174 Col8a2 ortholog_one2one 96.4235 ENSG00000171812 COL8A2 ortholog_one2one 94.1345 NA NA NA NA NA NA 329941 329941 1296 1296
ENSMOCG00000010394 389.625098 0.3060751 0.1214838 0.0001743 0.0014917 102002738 Tnxb protein_coding 102002738 Tnxb ENSMUSG00000033327 Tnxb ortholog_one2one 81.1228 ENSG00000168477 TNXB ortholog_one2one 77.0190 NA NA NA NA NA NA 81877 81877 7148 7148
ENSMOCG00000003648 53.661646 0.2811769 0.1070293 0.0001787 0.0015245 101996922 Ism1 protein_coding 101996922 Ism1 ENSMUSG00000074766 Ism1 ortholog_one2one 96.7462 ENSG00000101230 ISM1 ortholog_one2one 92.8417 NA NA NA NA NA NA 319909 319909 140862 140862
ENSMOCG00000002519 112.110541 -0.3384119 0.1423803 0.0001804 0.0015364 101982231 Cbln4 protein_coding 101982231 Cbln4 ENSMUSG00000067578 Cbln4 ortholog_one2one 97.0149 ENSG00000054803 CBLN4 ortholog_one2one 97.5124 NA NA NA NA NA NA 228942 228942 140689 140689
ENSMOCG00000022336 113.833915 -0.4804166 0.2329106 0.0001886 0.0015982 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000011147 92.494703 -0.3193939 0.1314280 0.0001896 0.0016057 101982224 protein_coding 101982224 NA ENSG00000171224 FAM241B ortholog_one2one 93.3333 NA NA NA NA NA NA NA NA 219738 219738
ENSMOCG00000007124 257.833093 0.5387055 0.2727264 0.0001919 0.0016237 102000462 A2m protein_coding 102000462 A2m ENSMUSG00000030111 A2m ortholog_one2one 76.8865 ENSG00000175899 A2M ortholog_one2one 68.7288 NA NA NA NA NA NA 232345 232345 2 2
ENSMOCG00000019233 32.156846 0.3848666 0.1736060 0.0001925 0.0016273 101999441 protein_coding 101999441 ENSMUSG00000054690 Emcn ortholog_one2one 57.4661 ENSG00000164035 EMCN ortholog_one2one 47.9638 NA NA NA NA NA NA 59308 59308 51705 51705
ENSMOCG00000020302 104.489401 0.2686351 0.1009753 0.0001928 0.0016286 NA Cmya5 protein_coding NA Cmya5 ENSMUSG00000047419 Cmya5 ortholog_one2one 69.4841 ENSG00000164309 CMYA5 ortholog_one2one 61.1416 NA NA NA NA NA NA 76469 76469 202333 202333
ENSMOCG00000001440 84.248297 -0.3127511 0.1279232 0.0001961 0.0016476 101990267 Slc2a12 protein_coding 101990267 Slc2a12 ENSMUSG00000037490 Slc2a12 ortholog_one2one 92.4316 ENSG00000146411 SLC2A12 ortholog_one2one 85.1852 NA NA NA NA NA NA 353169 353169 154091 154091
ENSMOCG00000022780 62.529244 -0.3388444 0.1446666 0.0001965 0.0016493 102000522 protein_coding 102000522 ENSMUSG00000028974 Dffa ortholog_one2many 72.3127 ENSG00000160049 DFFA ortholog_one2many 67.1010 NA NA NA NA NA NA 13347 13347 1676 1676
ENSMOCG00000001240 155.619910 0.2818259 0.1089247 0.0001967 0.0016493 102000815 Apln protein_coding 102000815 Apln ENSMUSG00000037010 Apln ortholog_one2one 93.5065 ENSG00000171388 APLN ortholog_one2one 87.0130 NA NA NA NA NA NA 30878 30878 8862 8862
ENSMOCG00000008344 170.128044 -0.2614882 0.0973033 0.0001972 0.0016511 NA Mybpc3 protein_coding NA Mybpc3 ENSMUSG00000002100 Mybpc3 ortholog_one2one 95.7249 ENSG00000134571 MYBPC3 ortholog_one2one 91.4498 NA NA NA NA NA NA 17868 17868 4607 4607
ENSMOCG00000015860 58.601786 -0.2922812 0.1152798 0.0001973 0.0016514 101988366 Marchf3 protein_coding 101988366 Marchf3 ENSMUSG00000032656 Marchf3 ortholog_one2one 99.2095 ENSG00000173926 MARCHF3 ortholog_one2one 98.4190 NA NA NA NA NA NA 320253 320253 115123 115123
ENSMOCG00000021296 25.574556 -0.4728122 0.2302332 0.0001977 0.0016517 102002764 Prlr protein_coding 102002764 Prlr ENSMUSG00000005268 Prlr ortholog_one2one 81.4580 ENSG00000113494 PRLR ortholog_one2one 65.9271 NA NA NA NA NA NA 19116 19116 5618 5618
ENSMOCG00000022319 45.667063 0.3097317 0.1264959 0.0002009 0.0016760 NA protein_coding NA ENSMUSG00000041921 Metap1d ortholog_one2one 79.4521 ENSG00000172878 METAP1D ortholog_one2one 78.7671 NA NA NA NA NA NA 66559 66559 254042 254042
ENSMOCG00000012694 34.486850 -0.3832288 0.1741296 0.0002027 0.0016903 101978945 Egln3 protein_coding 101978945 Egln3 ENSMUSG00000035105 Egln3 ortholog_one2one 98.7179 ENSG00000129521 EGLN3 ortholog_one2one 97.8633 NA NA NA NA NA NA 112407 112407 112399 112399
ENSMOCG00000021489 113.033538 -0.3096780 0.1273395 0.0002098 0.0017414 101984787 Zdhhc22 protein_coding 101984787 Zdhhc22 ENSMUSG00000048483 Zdhhc22 ortholog_one2one 97.3485 ENSG00000177108 ZDHHC22 ortholog_one2one 91.2879 NA NA NA NA NA NA 238331 238331 283576 283576
ENSMOCG00000016575 32.099982 -0.4381549 0.2105706 0.0002099 0.0017415 101991721 Cfap57 protein_coding 101991721 Cfap57 ENSMUSG00000028730 Cfap57 ortholog_one2one 91.4331 ENSG00000243710 CFAP57 ortholog_one2one 90.3923 NA NA NA NA NA NA 68625 68625 149465 149465
ENSMOCG00000013951 92.230989 -0.3277396 0.1398251 0.0002173 0.0017950 101993230 Armc7 protein_coding 101993230 Armc7 ENSMUSG00000057219 Armc7 ortholog_one2one 91.4141 ENSG00000125449 ARMC7 ortholog_one2one 86.3636 NA NA NA NA NA NA 276905 276905 79637 79637
ENSMOCG00000006311 45.386612 0.5027414 0.2550916 0.0002177 0.0017975 101986437 Galnt15 protein_coding 101986437 Galnt15 ENSMUSG00000021903 Galnt15 ortholog_one2one 83.2808 ENSG00000131386 GALNT15 ortholog_one2one 76.9716 NA NA NA NA NA NA 78754 78754 117248 117248
ENSMOCG00000002986 17.505661 -0.5712277 0.3099914 0.0002247 0.0018472 101985291 Cfap141 protein_coding 101985291 Cfap141 ENSMUSG00000118506 Cfap141 ortholog_one2one 76.1905 ENSG00000163263 CFAP141 ortholog_one2one 72.3810 NA NA NA NA NA NA 73545 73545 388701 388701
ENSMOCG00000022644 19.348374 -0.5115329 0.2632782 0.0002252 0.0018489 101980409 processed_pseudogene 101980409 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000004195 91.772821 0.7166909 0.5690487 0.0002268 0.0018600 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000008914 22.983393 0.5143557 0.2669592 0.0002312 0.0018898 101985923 Mroh8 protein_coding 101985923 Mroh8 ENSMUSG00000074627 Mroh8 ortholog_one2one 80.1527 ENSG00000101353 MROH8 ortholog_one2one 66.3168 NA NA NA NA NA NA 629499 629499 140699 140699
ENSMOCG00000013838 65.194306 -0.2596714 0.0987508 0.0002353 0.0019171 NA Rnf227 protein_coding NA Rnf227 ENSMUSG00000043419 Rnf227 ortholog_one2one 85.3403 ENSG00000179859 RNF227 ortholog_one2one 74.8691 NA NA NA NA NA NA 80515 80515 284023 284023
ENSMOCG00000011451 93.550655 -0.3587753 0.1632074 0.0002411 0.0019549 101990697 Car10 protein_coding 101990697 Car10 ENSMUSG00000056158 Car10 ortholog_one2one 100.0000 ENSG00000154975 CA10 ortholog_one2one 100.0000 NA NA NA NA NA NA 72605 72605 56934 56934
ENSMOCG00000019953 48.090652 0.2566652 0.0974010 0.0002412 0.0019549 101980639 protein_coding 101980639 ENSMUSG00000001674 Ddx18 ortholog_one2many 89.9687 ENSG00000088205 DDX18 ortholog_one2many 85.8934 NA NA NA NA NA NA 66942 66942 8886 8886
ENSMOCG00000013307 208.790669 -0.2508664 0.0943312 0.0002442 0.0019764 NA protein_coding NA ENSMUSG00000069170 Adgrv1 ortholog_one2many 84.0825 ENSG00000164199 ADGRV1 ortholog_one2many 79.3511 NA NA NA NA NA NA 110789 110789 84059 84059
ENSMOCG00000003004 34.554863 0.3780355 0.1769195 0.0002468 0.0019920 101988888 protein_coding 101988888 ENSMUSG00000007892 Rplp1 ortholog_many2many 95.6140 ENSG00000137818 RPLP1 ortholog_one2many 98.2456 ENSMUSG00000007892, ENSMUSG00000091014 Rplp1, Gm5244 95.614, 86.8421 ENSG00000137818, ENSG00000137818 RPLP1, RPLP1 98.2456, 98.2456 56040 56040 6176 6176
ENSMOCG00000009893 62.974808 -0.3217272 0.1388586 0.0002470 0.0019923 101997805 Nipal4 protein_coding 101997805 Nipal4 ENSMUSG00000020411 Nipal4 ortholog_one2one 96.0591 ENSG00000172548 NIPAL4 ortholog_one2one 83.2512 NA NA NA NA NA NA 214112 214112 348938 348938
ENSMOCG00000014944 338.965285 0.2911682 0.1189513 0.0002501 0.0020112 101978966 Exph5 protein_coding 101978966 Exph5 ENSMUSG00000034584 Exph5 ortholog_one2one 73.0888 ENSG00000110723 EXPH5 ortholog_one2one 58.3161 NA NA NA NA NA NA 320051 320051 23086 23086
ENSMOCG00000017650 15.349310 -0.4290209 0.2119150 0.0002510 0.0020164 101991695 Polm protein_coding 101991695 Polm ENSMUSG00000020474 Polm ortholog_one2one 77.8234 ENSG00000122678 POLM ortholog_one2one 75.7700 NA NA NA NA NA NA 54125 54125 27434 27434
ENSMOCG00000000200 60.035453 0.2640450 0.1026167 0.0002571 0.0020528 NA protein_coding NA ENSMUSG00000031229 Atrx ortholog_one2many 96.2185 ENSG00000085224 ATRX ortholog_one2many 92.0168 NA NA NA NA NA NA 22589 22589 546 546
ENSMOCG00000017248 21.531569 -0.3761760 0.1770423 0.0002575 0.0020542 101980323 Pdia2 protein_coding 101980323 Pdia2 ENSMUSG00000024184 Pdia2 ortholog_one2one 89.1635 ENSG00000185615 PDIA2 ortholog_one2one 79.2776 NA NA NA NA NA NA 69191 69191 64714 64714
ENSMOCG00000013103 60.659405 -0.2632612 0.1023609 0.0002606 0.0020744 102000566 Gal3st1 protein_coding 102000566 Gal3st1 ENSMUSG00000049721 Gal3st1 ortholog_one2one 92.1986 ENSG00000128242 GAL3ST1 ortholog_one2one 83.4515 NA NA NA NA NA NA 53897 53897 9514 9514
ENSMOCG00000014308 39.171388 -0.3008833 0.1263738 0.0002636 0.0020957 101979038 Sspn protein_coding 101979038 Sspn ENSMUSG00000030255 Sspn ortholog_one2one 87.9630 ENSG00000123096 SSPN ortholog_one2one 81.9444 NA NA NA NA NA NA 16651 16651 8082 8082
ENSMOCG00000015747 1139.399281 0.3125909 0.1344926 0.0002667 0.0021175 101995601 Afap1 protein_coding 101995601 Afap1 ENSMUSG00000029094 Afap1 ortholog_one2one 96.8579 ENSG00000196526 AFAP1 ortholog_one2one 92.3497 NA NA NA NA NA NA 70292 70292 60312 60312
ENSMOCG00000022757 110.137424 -0.4070274 0.1995933 0.0002680 0.0021257 101988013 Ldhd protein_coding 101988013 Ldhd ENSMUSG00000031958 Ldhd ortholog_one2one 92.9752 ENSG00000166816 LDHD ortholog_one2one 83.8843 NA NA NA NA NA NA 52815 52815 197257 197257
ENSMOCG00000018533 38.347816 -0.3993982 0.1953465 0.0002751 0.0021755 101983589 Tent5a protein_coding 101983589 Tent5a ENSMUSG00000032265 Tent5a ortholog_one2one 98.4340 ENSG00000112773 TENT5A ortholog_one2one 92.6174 NA NA NA NA NA NA 212943 212943 55603 55603
ENSMOCG00000006399 28.279576 0.3981962 0.1946031 0.0002758 0.0021776 101993682 Mpzl3 protein_coding 101993682 Mpzl3 ENSMUSG00000070305 Mpzl3 ortholog_one2one 90.3361 ENSG00000160588 MPZL3 ortholog_one2one 84.8739 NA NA NA NA NA NA 319742 319742 196264 196264
ENSMOCG00000015845 78.530525 0.3320104 0.1496620 0.0002863 0.0022528 101999148 Abca15 protein_coding 101999148 Abca15 ENSMUSG00000054746 Abca15 ortholog_one2one 77.8310 NA NA NA NA NA NA NA 320631 320631 NA NA
ENSMOCG00000006815 13.755491 -0.5350406 0.2991523 0.0002862 0.0022528 NA Primpol protein_coding NA Primpol ENSMUSG00000038225 Primpol ortholog_one2one 81.1460 ENSG00000164306 PRIMPOL ortholog_one2one 76.3401 NA NA NA NA NA NA 408022 408022 201973 201973
ENSMOCG00000003210 3470.367794 -0.2847897 0.1176051 0.0002888 0.0022716 NA Peg10 protein_coding NA Peg10 ENSMUSG00000092035 Peg10 ortholog_one2one 73.2167 ENSG00000242265 PEG10 ortholog_one2one 72.1400 NA NA NA NA NA NA 170676 170676 23089 23089
ENSMOCG00000002683 56.686734 0.2928041 0.1230211 0.0002904 0.0022811 101983112 Rab3d protein_coding 101983112 Rab3d ENSMUSG00000019066 Rab3d ortholog_one2one 98.1735 ENSG00000105514 RAB3D ortholog_one2one 94.5205 NA NA NA NA NA NA 19340 19340 9545 9545
ENSMOCG00000019320 795.263306 0.2724887 0.1105211 0.0003025 0.0023669 101988532 protein_coding 101988532 ENSMUSG00000026678 Rgs5 ortholog_one2many 93.3702 ENSG00000143248 RGS5 ortholog_one2many 91.7127 NA NA NA NA NA NA 19737 19737 8490 8490
ENSMOCG00000008496 75.313122 -0.3582819 0.1699505 0.0003035 0.0023728 101992428 B3gat2 protein_coding 101992428 B3gat2 ENSMUSG00000026156 B3gat2 ortholog_one2one 98.7654 ENSG00000112309 B3GAT2 ortholog_one2one 88.5802 NA NA NA NA NA NA 280645 280645 135152 135152
ENSMOCG00000009603 88.587995 -0.2917289 0.1233705 0.0003055 0.0023862 101987772 protein_coding 101987772 ENSMUSG00000059810 Rgs3 ortholog_one2many 90.7621 ENSG00000138835 RGS3 ortholog_one2many 85.4503 NA NA NA NA NA NA 50780 50780 5998 5998
ENSMOCG00000005160 27.444164 0.3626393 0.1737737 0.0003101 0.0024133 101981197 Aspn protein_coding 101981197 Aspn ENSMUSG00000021388 Aspn ortholog_one2one 96.4960 ENSG00000106819 ASPN ortholog_one2one 91.3747 NA NA NA NA NA NA 66695 66695 54829 54829
ENSMOCG00000023017 20.866656 -0.3590620 0.1731647 0.0003287 0.0025317 101979337 Slc23a4 protein_coding 101979337 Slc23a4 ENSMUSG00000029847 Slc23a4 ortholog_one2one 90.8646 NA NA NA NA NA NA NA 243753 243753 NA NA
ENSMOCG00000001723 25.668852 0.4083937 0.2090970 0.0003291 0.0025329 102000416 Atp12a protein_coding 102000416 Atp12a ENSMUSG00000022229 Atp12a ortholog_one2one 95.6606 ENSG00000075673 ATP12A ortholog_one2one 87.6567 NA NA NA NA NA NA 192113 192113 479 479
ENSMOCG00000011227 92.354387 -0.6484018 0.6308297 0.0003306 0.0025430 101998615 Nwd1 protein_coding 101998615 Nwd1 ENSMUSG00000048148 Nwd1 ortholog_one2one 87.0761 ENSG00000188039 NWD1 ortholog_one2one 69.9296 NA NA NA NA NA NA 319555 319555 284434 284434
ENSMOCG00000002809 61.728286 -0.3087202 0.1372765 0.0003345 0.0025686 101990425 Scube1 protein_coding 101990425 Scube1 ENSMUSG00000016763 Scube1 ortholog_one2one 96.7583 ENSG00000159307 SCUBE1 ortholog_one2one 89.9804 NA NA NA NA NA NA 64706 64706 80274 80274
ENSMOCG00000014510 21.384045 0.3919877 0.1978227 0.0003347 0.0025686 101998093 Gm1123 protein_coding 101998093 Gm1123 ENSMUSG00000044860 Gm1123 ortholog_one2one 63.8462 ENSG00000154639 CXADR ortholog_one2many 24.1026 NA NA NA NA NA NA 382097 382097 1525 1525
ENSMOCG00000012408 47.767430 -0.3628968 0.1765450 0.0003344 0.0025686 101997032 Card11 protein_coding 101997032 Card11 ENSMUSG00000036526 Card11 ortholog_one2one 98.2669 ENSG00000198286 CARD11 ortholog_one2one 92.8076 NA NA NA NA NA NA 108723 108723 84433 84433
ENSMOCG00000002777 138.959211 -0.3637939 0.1784794 0.0003467 0.0026516 101999491 3830406C13Rik protein_coding 101999491 3830406C13Rik ENSMUSG00000033111 3830406C13Rik ortholog_one2one 57.8125 ENSG00000114405 C3orf14 ortholog_one2one 74.2188 NA NA NA NA NA NA 218734 218734 57415 57415
ENSMOCG00000016612 53.365991 -0.3746686 0.1864838 0.0003466 0.0026516 101981473 Cyp4f14 protein_coding 101981473 Cyp4f14 ENSMUSG00000024292 Cyp4f14 ortholog_one2one 87.0229 ENSG00000186115 CYP4F2 ortholog_one2many 66.0305 NA NA NA NA NA NA 64385 64385 8529 8529
ENSMOCG00000002606 76.274142 -0.3172339 0.1445531 0.0003495 0.0026673 101982016 processed_pseudogene 101982016 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000001378 26.659700 -0.3381792 0.1602118 0.0003532 0.0026861 101995877 Bbof1 protein_coding 101995877 Bbof1 ENSMUSG00000057265 Bbof1 ortholog_one2one 80.1444 ENSG00000119636 BBOF1 ortholog_one2one 73.4657 NA NA NA NA NA NA 72873 72873 80127 80127
ENSMOCG00000013010 266.055157 -0.2731607 0.1139400 0.0003549 0.0026951 101990767 Anln protein_coding 101990767 Anln ENSMUSG00000036777 Anln ortholog_one2one 86.3758 ENSG00000011426 ANLN ortholog_one2one 81.1220 NA NA NA NA NA NA 68743 68743 54443 54443
ENSMOCG00000021477 20.316749 -0.3801269 0.1914499 0.0003550 0.0026951 NA protein_coding NA ENSMUSG00000079235 Ccdc13 ortholog_one2one 66.9421 ENSG00000244607 CCDC13 ortholog_one2one 57.4380 NA NA NA NA NA NA 100502861 100502861 152206 152206
ENSMOCG00000002453 71.213569 -0.2643505 0.1087648 0.0003667 0.0027700 101997854 protein_coding 101997854 ENSMUSG00000051727 Kctd14 ortholog_one2one 82.7715 ENSG00000151364 KCTD14 ortholog_one2one 48.3146 NA NA NA NA NA NA 233529 233529 65987 65987
ENSMOCG00000000037 32.473140 0.3049555 0.1373921 0.0003738 0.0028142 NA Mt_tRNA NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000002240 17.005456 0.6019514 0.4340395 0.0003746 0.0028179 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000016702 11.912825 -0.5908432 0.4109317 0.0003786 0.0028434 101989967 Ctxn3 protein_coding 101989967 Ctxn3 ENSMUSG00000069372 Ctxn3 ortholog_one2one 96.2500 ENSG00000205279 CTXN3 ortholog_one2one 95.0000 NA NA NA NA NA NA 629147 629147 613212 613212
ENSMOCG00000001770 36.158203 0.4520136 0.2536752 0.0004031 0.0030039 102001074 Slc25a34 protein_coding 102001074 Slc25a34 ENSMUSG00000040740 Slc25a34 ortholog_one2one 82.0669 ENSG00000162461 SLC25A34 ortholog_one2one 76.2918 NA NA NA NA NA NA 384071 384071 284723 284723
ENSMOCG00000010143 88.913563 -0.3058560 0.1403711 0.0004080 0.0030272 101995271 Tacr3 protein_coding 101995271 Tacr3 ENSMUSG00000028172 Tacr3 ortholog_one2one 94.0397 ENSG00000169836 TACR3 ortholog_one2one 89.1832 NA NA NA NA NA NA 21338 21338 6870 6870
ENSMOCG00000020990 41.885517 -0.2928110 0.1314555 0.0004201 0.0030997 101995836 N4bp3 protein_coding 101995836 N4bp3 ENSMUSG00000001053 N4bp3 ortholog_one2one 94.9814 ENSG00000145911 N4BP3 ortholog_one2one 91.8216 NA NA NA NA NA NA 212706 212706 23138 23138
ENSMOCG00000016330 16.113446 0.4912835 0.2936414 0.0004285 0.0031508 NA Efcab15 protein_coding NA Efcab15 ENSMUSG00000020940 Efcab15 ortholog_one2one 79.2208 NA NA NA NA NA NA NA 69441 69441 NA NA
ENSMOCG00000008239 62.369544 -0.2897978 0.1305913 0.0004437 0.0032502 102000813 Cpm protein_coding 102000813 Cpm ENSMUSG00000020183 Cpm ortholog_one2one 89.1648 ENSG00000135678 CPM ortholog_one2one 83.9729 NA NA NA NA NA NA 70574 70574 1368 1368
ENSMOCG00000012488 21.599033 -0.5266396 0.3369397 0.0004442 0.0032503 101986510 Zbbx protein_coding 101986510 Zbbx ENSMUSG00000034151 Zbbx ortholog_one2one 69.3166 ENSG00000169064 ZBBX ortholog_one2one 59.9721 NA NA NA NA NA NA 213234 213234 79740 79740
ENSMOCG00000011195 25.876792 -0.4265042 0.2384291 0.0004442 0.0032503 101987231 protein_coding 101987231 ENSMUSG00000035095 Fam167a ortholog_one2one 96.4706 ENSG00000154319 FAM167A ortholog_one2one 95.2941 NA NA NA NA NA NA 219148 219148 83648 83648
ENSMOCG00000011400 27.019534 -0.3116754 0.1476829 0.0004518 0.0032946 NA Sox21 protein_coding NA Sox21 ENSMUSG00000061517 Sox21 ortholog_one2one 99.0000 ENSG00000125285 SOX21 ortholog_one2one 99.5000 NA NA NA NA NA NA 223227 223227 11166 11166
ENSMOCG00000004545 555.608207 -0.2757651 0.1211321 0.0004591 0.0033371 101979710 Dlk1 protein_coding 101979710 Dlk1 ENSMUSG00000040856 Dlk1 ortholog_one2one 92.1671 ENSG00000185559 DLK1 ortholog_one2one 87.4674 NA NA NA NA NA NA 13386 13386 8788 8788
ENSMOCG00000019522 49.120116 -0.2569139 0.1082575 0.0004649 0.0033754 101998722 Arg2 protein_coding 101998722 Arg2 ENSMUSG00000021125 Arg2 ortholog_one2one 90.1130 ENSG00000081181 ARG2 ortholog_one2one 86.4407 NA NA NA NA NA NA 11847 11847 384 384
ENSMOCG00000001475 68.423179 0.3064578 0.1461956 0.0004925 0.0035339 102002044 Hao1 protein_coding 102002044 Hao1 ENSMUSG00000027261 Hao1 ortholog_one2one 95.9459 ENSG00000101323 HAO1 ortholog_one2one 89.1892 NA NA NA NA NA NA 15112 15112 54363 54363
ENSMOCG00000021052 52.228890 -0.2904206 0.1339326 0.0004960 0.0035501 101980038 protein_coding 101980038 NA ENSG00000213316 LTC4S ortholog_one2one 90.2655 NA NA NA NA NA NA NA NA 4056 4056
ENSMOCG00000010899 79.124927 -0.2531428 0.1073415 0.0005065 0.0036205 101981848 Lrrc75b protein_coding 101981848 Lrrc75b ENSMUSG00000046807 Lrrc75b ortholog_one2one 91.9355 ENSG00000178026 LRRC75B ortholog_one2one 83.8710 NA NA NA NA NA NA 192734 192734 388886 388886
ENSMOCG00000008456 49.818922 0.3097438 0.1508263 0.0005258 0.0037344 101999950 Fezf2 protein_coding 101999950 Fezf2 ENSMUSG00000021743 Fezf2 ortholog_one2one 97.8022 ENSG00000153266 FEZF2 ortholog_one2one 96.0440 NA NA NA NA NA NA 54713 54713 55079 55079
ENSMOCG00000015792 29.151070 -0.4054745 0.2315860 0.0005362 0.0037889 101995582 Rsph4a protein_coding 101995582 Rsph4a ENSMUSG00000039552 Rsph4a ortholog_one2one 78.7879 ENSG00000111834 RSPH4A ortholog_one2one 70.5234 NA NA NA NA NA NA 212892 212892 345895 345895
ENSMOCG00000011558 15.318551 -0.4406351 0.2656043 0.0005522 0.0038868 NA protein_coding NA ENSMUSG00000060803 Gstp1 ortholog_many2many 89.3720 ENSG00000084207 GSTP1 ortholog_one2many 82.6087 ENSMUSG00000060803, ENSMUSG00000038155 Gstp1, Gstp2 89.372, 87.9227 ENSG00000084207, ENSG00000084207 GSTP1, GSTP1 82.6087, 82.6087 14870 14870 2950 2950
ENSMOCG00000020923 25.772262 0.3459924 0.1826886 0.0005557 0.0039050 101988183 Fancd2 protein_coding 101988183 Fancd2 ENSMUSG00000034023 Fancd2 ortholog_one2one 87.4656 ENSG00000144554 FANCD2 ortholog_one2one 75.6887 NA NA NA NA NA NA 211651 211651 2177 2177
ENSMOCG00000019802 30.329937 0.3425983 0.1804836 0.0005644 0.0039562 101983864 Ptpn7 protein_coding 101983864 Ptpn7 ENSMUSG00000031506 Ptpn7 ortholog_one2one 92.7577 ENSG00000143851 PTPN7 ortholog_one2one 91.9220 NA NA NA NA NA NA 320139 320139 5778 5778
ENSMOCG00000019904 14.877844 -0.4042656 0.2340238 0.0005685 0.0039744 101984071 Aloxe3 protein_coding 101984071 Aloxe3 ENSMUSG00000020892 Aloxe3 ortholog_one2one 94.2335 ENSG00000179148 ALOXE3 ortholog_one2one 88.7482 NA NA NA NA NA NA 23801 23801 59344 59344
ENSMOCG00000020554 16.412909 0.4967753 0.3347815 0.0005822 0.0040539 101979981 Lix1 protein_coding 101979981 Lix1 ENSMUSG00000047786 Lix1 ortholog_one2one 97.8723 ENSG00000145721 LIX1 ortholog_one2one 93.6170 NA NA NA NA NA NA 66643 66643 167410 167410
ENSMOCG00000004801 24.512212 -0.3981034 0.2305546 0.0005882 0.0040819 101999438 Cfap90 protein_coding 101999438 Cfap90 ENSMUSG00000021534 Cfap90 ortholog_one2one 83.3333 ENSG00000215217 CFAP90 ortholog_one2one 69.0476 NA NA NA NA NA NA 69315 69315 134121 134121
ENSMOCG00000021121 34.858817 0.3324399 0.1740289 0.0005951 0.0041236 101980000 Parp14 protein_coding 101980000 Parp14 ENSMUSG00000034422 Parp14 ortholog_one2one 71.2433 ENSG00000173193 PARP14 ortholog_one2one 61.7086 NA NA NA NA NA NA 547253 547253 54625 54625
ENSMOCG00000000538 86.021106 -0.2640369 0.1189983 0.0006093 0.0042080 102002920 Cdk20 protein_coding 102002920 Cdk20 ENSMUSG00000021483 Cdk20 ortholog_one2one 98.5549 ENSG00000156345 CDK20 ortholog_one2one 93.3526 NA NA NA NA NA NA 105278 105278 23552 23552
ENSMOCG00000014117 39.635616 0.2932455 0.1424191 0.0006175 0.0042431 101994696 Ddc protein_coding 101994696 Ddc ENSMUSG00000020182 Ddc ortholog_one2one 95.4167 ENSG00000132437 DDC ortholog_one2one 90.0000 NA NA NA NA NA NA 13195 13195 1644 1644
ENSMOCG00000011210 66.016581 -0.2776119 0.1302972 0.0006290 0.0043090 101984296 Rac2 protein_coding 101984296 Rac2 ENSMUSG00000033220 Rac2 ortholog_one2one 100.0000 ENSG00000128340 RAC2 ortholog_one2one 98.9583 NA NA NA NA NA NA 19354 19354 5880 5880
ENSMOCG00000019570 31.523933 -0.3299954 0.1742149 0.0006300 0.0043114 101979119 Pawr protein_coding 101979119 Pawr ENSMUSG00000035873 Pawr ortholog_one2one 86.8263 ENSG00000177425 PAWR ortholog_one2one 78.1437 NA NA NA NA NA NA 114774 114774 5074 5074
ENSMOCG00000015835 50.066738 -0.2612744 0.1178544 0.0006342 0.0043358 NA Sowahc protein_coding NA Sowahc ENSMUSG00000098188 Sowahc ortholog_one2one 84.4660 ENSG00000198142 SOWAHC ortholog_one2one 74.1748 NA NA NA NA NA NA 268301 268301 65124 65124
ENSMOCG00000000186 39.851399 0.2663130 0.1221954 0.0006477 0.0044130 101991605 Parp3 protein_coding 101991605 Parp3 ENSMUSG00000023249 Parp3 ortholog_one2one 87.6426 ENSG00000041880 PARP3 ortholog_one2one 81.7490 NA NA NA NA NA NA 235587 235587 10039 10039
ENSMOCG00000020363 66.246383 -0.4981098 0.3551111 0.0006490 0.0044139 NA Cfap43 protein_coding NA Cfap43 ENSMUSG00000044948 Cfap43 ortholog_one2one 81.4039 ENSG00000197748 CFAP43 ortholog_one2one 74.6305 NA NA NA NA NA NA 100048534 100048534 80217 80217
ENSMOCG00000003549 305.892007 -0.2636648 0.1202012 0.0006488 0.0044139 101990216 Itih3 protein_coding 101990216 Itih3 ENSMUSG00000006522 Itih3 ortholog_one2one 89.0011 ENSG00000162267 ITIH3 ortholog_one2one 82.8283 NA NA NA NA NA NA 16426 16426 3699 3699
ENSMOCG00000000234 22.160655 -0.4397079 0.2812550 0.0006724 0.0045411 NA Arl5c protein_coding NA Arl5c ENSMUSG00000038352 Arl5c ortholog_one2one 90.4192 ENSG00000141748 ARL5C ortholog_one2one 77.2455 NA NA NA NA NA NA 217151 217151 390790 390790
ENSMOCG00000015819 25.965641 -0.3621925 0.2059465 0.0006761 0.0045586 102001806 Fmod protein_coding 102001806 Fmod ENSMUSG00000041559 Fmod ortholog_one2one 96.0212 ENSG00000122176 FMOD ortholog_one2one 90.9814 NA NA NA NA NA NA 14264 14264 2331 2331
ENSMOCG00000014926 60.292131 -0.3416414 0.1876512 0.0006788 0.0045750 101993852 Nat8f1 protein_coding 101993852 Nat8f1 ENSMUSG00000057103 Nat8f1 ortholog_one2one 78.4483 ENSG00000144035 NAT8 ortholog_many2many 59.0517 ENSMUSG00000057103, ENSMUSG00000057103 Nat8f1, Nat8f1 78.4483, 78.4483 ENSG00000144035, ENSG00000204872 NAT8, NAT8B 59.0517, 57.7586 66116 66116 9027 9027
ENSMOCG00000015635 48.103450 0.3897298 0.2319124 0.0006819 0.0045923 101992327 Col6a1 protein_coding 101992327 Col6a1 ENSMUSG00000001119 Col6a1 ortholog_one2one 97.2710 ENSG00000142156 COL6A1 ortholog_one2one 90.2534 NA NA NA NA NA NA 12833 12833 1291 1291
ENSMOCG00000013318 19490.819617 -0.2548547 0.1155593 0.0007081 0.0047411 101992593 Mbp protein_coding 101992593 Mbp ENSMUSG00000041607 Mbp ortholog_one2one 94.8000 ENSG00000197971 MBP ortholog_one2one 87.6000 NA NA NA NA NA NA 17196 17196 4155 4155
ENSMOCG00000001681 54.269451 0.2917757 0.1456178 0.0007104 0.0047493 102002384 Mid1 protein_coding 102002384 Mid1 ENSMUSG00000035299 Mid1 ortholog_one2one 95.2024 ENSG00000101871 MID1 ortholog_one2one 98.9505 NA NA NA NA NA NA 17318 17318 4281 4281
ENSMOCG00000001650 75.923870 -0.4405713 0.2894292 0.0007240 0.0048280 NA Wdr27 protein_coding NA Wdr27 ENSMUSG00000046991 Wdr27 ortholog_one2one 79.3854 ENSG00000184465 WDR27 ortholog_one2one 61.5877 NA NA NA NA NA NA 71682 71682 253769 253769
ENSMOCG00000010850 104.913741 -0.2596807 0.1203822 0.0007417 0.0049188 102001336 Tmem63a protein_coding 102001336 Tmem63a ENSMUSG00000026519 Tmem63a ortholog_one2one 93.6567 ENSG00000196187 TMEM63A ortholog_one2one 86.6915 NA NA NA NA NA NA 208795 208795 9725 9725
ENSMOCG00000000821 42.781076 -0.3242109 0.1764464 0.0007514 0.0049713 101995452 Emb protein_coding 101995452 Emb ENSMUSG00000021728 Emb ortholog_one2one 73.9521 ENSG00000170571 EMB ortholog_one2one 67.9641 NA NA NA NA NA NA 13723 13723 133418 133418
ENSMOCG00000008195 39.304656 -0.2542123 0.1165777 0.0007554 0.0049928 NA protein_coding NA ENSMUSG00000002105 Slc39a13 ortholog_one2many 88.5714 ENSG00000165915 SLC39A13 ortholog_one2many 86.4286 NA NA NA NA NA NA 68427 68427 91252 91252
ENSMOCG00000001188 32.110156 0.2837139 0.1410724 0.0007646 0.0050383 101996352 Rbm46 protein_coding 101996352 Rbm46 ENSMUSG00000033882 Rbm46 ortholog_one2one 97.9362 ENSG00000151962 RBM46 ortholog_one2one 97.5610 NA NA NA NA NA NA 633285 633285 166863 166863
ENSMOCG00000017730 60.520923 -0.2834150 0.1412690 0.0007756 0.0050929 101980724 Pnoc protein_coding 101980724 Pnoc ENSMUSG00000045731 Pnoc ortholog_one2one 85.7143 ENSG00000168081 PNOC ortholog_one2one 78.2857 NA NA NA NA NA NA 18155 18155 5368 5368
ENSMOCG00000021098 40.153222 0.2682659 0.1285577 0.0007781 0.0051047 101984028 Car13 protein_coding 101984028 Car13 ENSMUSG00000027555 Car13 ortholog_one2one 96.1832 ENSG00000185015 CA13 ortholog_one2one 90.4580 NA NA NA NA NA NA 71934 71934 377677 377677
ENSMOCG00000011792 65.407660 -0.2965878 0.1534579 0.0007896 0.0051640 101987442 protein_coding 101987442 ENSMUSG00000015247 Nipsnap3b ortholog_one2many 90.6883 ENSG00000136783 NIPSNAP3A ortholog_one2many 83.4008 NA NA NA NA NA NA 66536 66536 25934 25934
ENSMOCG00000004827 28.061458 -0.4438346 0.3032870 0.0007910 0.0051640 101994875 Dnai3 protein_coding 101994875 Dnai3 ENSMUSG00000043020 Dnai3 ortholog_one2one 86.1920 ENSG00000162643 DNAI3 ortholog_one2one 78.8565 NA NA NA NA NA NA 242253 242253 126820 126820
ENSMOCG00000009339 26.406695 -0.3670992 0.2205062 0.0008064 0.0052368 101983631 Chodl protein_coding 101983631 Chodl ENSMUSG00000022860 Chodl ortholog_one2one 87.5458 ENSG00000154645 CHODL ortholog_one2one 93.7729 NA NA NA NA NA NA 246048 246048 140578 140578
ENSMOCG00000015386 406.264852 -0.3021461 0.1596503 0.0008149 0.0052810 101999404 Gabrq protein_coding 101999404 Gabrq ENSMUSG00000031344 Gabrq ortholog_one2one 89.9687 ENSG00000268089 GABRQ ortholog_one2one 77.1160 NA NA NA NA NA NA 57249 57249 55879 55879
ENSMOCG00000017685 137.570548 -0.2947051 0.1540747 0.0008411 0.0054271 102000436 Heph protein_coding 102000436 Heph ENSMUSG00000031209 Heph ortholog_one2one 90.0691 ENSG00000089472 HEPH ortholog_one2one 85.4922 NA NA NA NA NA NA 15203 15203 9843 9843
ENSMOCG00000013522 17.257797 0.4014622 0.2605353 0.0008571 0.0055118 101992319 protein_coding 101992319 ENSMUSG00000028182 Lrriq3 ortholog_one2one 81.0651 ENSG00000162620 LRRIQ3 ortholog_one2one 73.9645 NA NA NA NA NA NA 74435 74435 127255 127255
ENSMOCG00000003804 17.032548 0.3337586 0.1929900 0.0008825 0.0056422 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000003146 59.702875 0.2978971 0.1589106 0.0008842 0.0056504 NA Nmrk2 protein_coding NA Nmrk2 ENSMUSG00000004939 Nmrk2 ortholog_one2one 86.6667 ENSG00000077009 NMRK2 ortholog_one2one 85.1282 NA NA NA NA NA NA 69564 69564 27231 27231
ENSMOCG00000011420 54.025410 0.2590778 0.1245403 0.0008865 0.0056625 101988579 Tnfaip2 protein_coding 101988579 Tnfaip2 ENSMUSG00000021281 Tnfaip2 ortholog_one2one 83.5971 ENSG00000185215 TNFAIP2 ortholog_one2one 68.4892 NA NA NA NA NA NA 21928 21928 7127 7127
ENSMOCG00000007903 21.121655 -0.3075027 0.1697629 0.0009233 0.0058443 101996016 Ier3 protein_coding 101996016 Ier3 ENSMUSG00000003541 Ier3 ortholog_one2one 86.2500 ENSG00000137331 IER3 ortholog_one2one 71.2500 NA NA NA NA NA NA 15937 15937 8870 8870
ENSMOCG00000007659 31.009117 -0.3084041 0.1709116 0.0009293 0.0058684 101991299 Ppil6 protein_coding 101991299 Ppil6 ENSMUSG00000078451 Ppil6 ortholog_one2one 88.1789 ENSG00000185250 PPIL6 ortholog_one2one 74.4409 NA NA NA NA NA NA 73075 73075 285755 285755
ENSMOCG00000014815 53.815078 0.2779775 0.1425486 0.0009327 0.0058811 101991125 Fmn1 protein_coding 101991125 Fmn1 ENSMUSG00000044042 Fmn1 ortholog_one2one 84.6690 ENSG00000248905 FMN1 ortholog_one2one 74.0070 NA NA NA NA NA NA 14260 14260 342184 342184
ENSMOCG00000011502 809.161346 0.2509553 0.1193480 0.0009382 0.0059047 101998430 Ophn1 protein_coding 101998430 Ophn1 ENSMUSG00000031214 Ophn1 ortholog_one2one 95.0125 ENSG00000079482 OPHN1 ortholog_one2one 93.8903 NA NA NA NA NA NA 94190 94190 4983 4983
ENSMOCG00000020262 23.185186 -0.2946491 0.1584182 0.0009433 0.0059315 101985114 Nuak2 protein_coding 101985114 Nuak2 ENSMUSG00000009772 Nuak2 ortholog_one2one 94.4984 ENSG00000163545 NUAK2 ortholog_one2one 87.2168 NA NA NA NA NA NA 74137 74137 81788 81788
ENSMOCG00000009503 41.422876 0.2565734 0.1241460 0.0009432 0.0059315 101985539 Tpbgl protein_coding 101985539 Tpbgl ENSMUSG00000096606 Tpbgl ortholog_one2one 92.7083 ENSG00000261594 TPBGL ortholog_one2one 86.4583 NA NA NA NA NA NA 100503386 100503386 100507050 100507050
ENSMOCG00000021101 12.603763 0.4725388 0.4216638 0.0009596 0.0060198 102000827 Spaca1 protein_coding 102000827 Spaca1 ENSMUSG00000028264 Spaca1 ortholog_one2one 82.3333 ENSG00000118434 SPACA1 ortholog_one2one 68.6667 NA NA NA NA NA NA 67652 67652 81833 81833
ENSMOCG00000004168 26.285666 -0.3114119 0.1755038 0.0009646 0.0060453 101980793 Ccdc88b protein_coding 101980793 Ccdc88b ENSMUSG00000047810 Ccdc88b ortholog_one2one 87.3555 ENSG00000168071 CCDC88B ortholog_one2one 78.9259 NA NA NA NA NA NA 78317 78317 283234 283234
ENSMOCG00000002323 75.488928 -0.2514070 0.1210023 0.0009851 0.0061535 101995053 Aff2 protein_coding 101995053 Aff2 ENSMUSG00000031189 Aff2 ortholog_one2one 91.9685 ENSG00000155966 AFF2 ortholog_one2one 87.9528 NA NA NA NA NA NA 14266 14266 2334 2334
ENSMOCG00000012471 14.795513 -0.3642400 0.2329734 0.0010180 0.0063288 101997576 L3mbtl1 protein_coding 101997576 L3mbtl1 ENSMUSG00000035576 L3mbtl1 ortholog_one2one 87.2727 ENSG00000185513 L3MBTL1 ortholog_one2one 79.3939 NA NA NA NA NA NA 241764 241764 26013 26013
ENSMOCG00000010871 24.965365 -0.3469799 0.2144796 0.0010184 0.0063288 101987271 Minar1 protein_coding 101987271 Minar1 ENSMUSG00000039313 Minar1 ortholog_one2one 95.8560 ENSG00000169330 MINAR1 ortholog_one2one 89.9673 NA NA NA NA NA NA 209743 209743 23251 23251
ENSMOCG00000005623 37.933099 -0.3868554 0.2608141 0.0010429 0.0064573 NA protein_coding NA ENSMUSG00000028234 Rps20 ortholog_one2many 97.4790 ENSG00000008988 RPS20 ortholog_one2many 97.4790 NA NA NA NA NA NA 67427 67427 6224 6224
ENSMOCG00000002297 19.742990 0.3690462 0.2411406 0.0010569 0.0065106 101981934 Col9a1 protein_coding 101981934 Col9a1 ENSMUSG00000026147 Col9a1 ortholog_one2one 92.6914 ENSG00000112280 COL9A1 ortholog_one2one 89.5592 NA NA NA NA NA NA 12839 12839 1297 1297
ENSMOCG00000022524 12.150207 0.4206735 0.3083037 0.0010585 0.0065176 101980216 Rgs18 protein_coding 101980216 Rgs18 ENSMUSG00000026357 Rgs18 ortholog_one2one 90.6383 ENSG00000150681 RGS18 ortholog_one2one 83.8298 NA NA NA NA NA NA 64214 64214 64407 64407
ENSMOCG00000012607 15.618552 0.3965622 0.2752046 0.0010677 0.0065678 101995807 2310030G06Rik protein_coding 101995807 2310030G06Rik ENSMUSG00000032062 2310030G06Rik ortholog_one2one 71.3287 ENSG00000149300 C11orf52 ortholog_one2one 53.1469 NA NA NA NA NA NA 66952 66952 91894 91894
ENSMOCG00000017017 12.620978 0.3755598 0.2516387 0.0010956 0.0067055 101996146 Ticrr protein_coding 101996146 Ticrr ENSMUSG00000046591 Ticrr ortholog_one2one 81.0492 ENSG00000140534 TICRR ortholog_one2many 69.5931 NA NA NA NA NA NA 77011 77011 90381 90381
ENSMOCG00000002759 38.745079 -0.3384658 0.2104546 0.0011037 0.0067428 101989957 Vwa5b1 protein_coding 101989957 Vwa5b1 ENSMUSG00000028753 Vwa5b1 ortholog_one2one 81.7063 ENSG00000158816 VWA5B1 ortholog_one2one 75.1436 NA NA NA NA NA NA 75718 75718 127731 127731
ENSMOCG00000018638 22.953406 -0.3717903 0.2498320 0.0011307 0.0068809 101981750 Crh protein_coding 101981750 Crh ENSMUSG00000049796 Crh ortholog_one2one 90.9091 ENSG00000147571 CRH ortholog_one2one 80.2139 NA NA NA NA NA NA 12918 12918 1392 1392
ENSMOCG00000015998 29.044126 -0.3061463 0.1783332 0.0011434 0.0069470 101993239 Itgb7 protein_coding 101993239 Itgb7 ENSMUSG00000001281 Itgb7 ortholog_one2one 90.3630 ENSG00000139626 ITGB7 ortholog_one2one 85.7322 NA NA NA NA NA NA 16421 16421 3695 3695
ENSMOCG00000004567 23.945480 -0.2993759 0.1713512 0.0011430 0.0069470 101986265 Comp protein_coding 101986265 Comp ENSMUSG00000031849 Comp ortholog_one2one 94.1722 ENSG00000105664 COMP ortholog_one2one 89.5364 NA NA NA NA NA NA 12845 12845 1311 1311
ENSMOCG00000013923 19.921691 -0.3469167 0.2226816 0.0011542 0.0070032 101999259 Slitrk6 protein_coding 101999259 Slitrk6 ENSMUSG00000045871 Slitrk6 ortholog_one2one 92.6103 ENSG00000184564 SLITRK6 ortholog_one2one 89.5113 NA NA NA NA NA NA 239250 239250 84189 84189
ENSMOCG00000002507 139.749045 -0.2710169 0.1437363 0.0011596 0.0070259 101992821 Matn2 protein_coding 101992821 Matn2 ENSMUSG00000022324 Matn2 ortholog_one2one 90.2256 ENSG00000132561 MATN2 ortholog_one2one 88.0773 NA NA NA NA NA NA 17181 17181 4147 4147
ENSMOCG00000020959 51.312722 -0.4340890 0.3549533 0.0011693 0.0070753 101984671 Slc17a6 protein_coding 101984671 Slc17a6 ENSMUSG00000030500 Slc17a6 ortholog_one2one 98.7972 ENSG00000091664 SLC17A6 ortholog_one2one 97.5945 NA NA NA NA NA NA 140919 140919 57084 57084
ENSMOCG00000001608 29.783230 0.3247376 0.2005826 0.0011976 0.0072205 102001532 processed_pseudogene 102001532 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000018773 47.340274 -0.2854779 0.1594134 0.0012009 0.0072369 NA Scube3 protein_coding NA Scube3 ENSMUSG00000038677 Scube3 ortholog_one2one 96.3415 ENSG00000146197 SCUBE3 ortholog_one2one 95.6301 NA NA NA NA NA NA 268935 268935 222663 222663
ENSMOCG00000013268 23.691386 -0.2821080 0.1563545 0.0012108 0.0072866 101998771 Tpcn2 protein_coding 101998771 Tpcn2 ENSMUSG00000048677 Tpcn2 ortholog_one2one 87.3469 ENSG00000162341 TPCN2 ortholog_one2one 75.3742 NA NA NA NA NA NA 233979 233979 219931 219931
ENSMOCG00000019454 61.808340 -0.2620437 0.1380998 0.0012602 0.0075228 101979243 Rhou protein_coding 101979243 Rhou ENSMUSG00000039960 Rhou ortholog_one2one 82.7586 ENSG00000116574 RHOU ortholog_one2one 79.6935 NA NA NA NA NA NA 69581 69581 58480 58480
ENSMOCG00000006632 266.061278 -0.4327523 0.4018401 0.0012861 0.0076499 101987257 Mgst1 protein_coding 101987257 Mgst1 ENSMUSG00000008540 Mgst1 ortholog_one2one 89.6774 ENSG00000008394 MGST1 ortholog_one2one 85.1613 NA NA NA NA NA NA 56615 56615 4257 4257
ENSMOCG00000018644 60.369792 -0.2616771 0.1394359 0.0013214 0.0078005 101989530 Tmem266 protein_coding 101989530 Tmem266 ENSMUSG00000032313 Tmem266 ortholog_one2one 92.7374 ENSG00000169758 TMEM266 ortholog_one2one 86.7784 NA NA NA NA NA NA 244886 244886 123591 123591
ENSMOCG00000005883 1858.682708 0.2590072 0.1369450 0.0013253 0.0078065 101998584 Dkk3 protein_coding 101998584 Dkk3 ENSMUSG00000030772 Dkk3 ortholog_one2one 86.7816 ENSG00000050165 DKK3 ortholog_one2one 84.4828 NA NA NA NA NA NA 50781 50781 27122 27122
ENSMOCG00000004054 21.919549 -0.2782967 0.1565809 0.0013340 0.0078545 101999320 protein_coding 101999320 NA ENSG00000213903 LTB4R ortholog_one2one 77.1676 NA NA NA NA NA NA NA NA 1241 1241
ENSMOCG00000006742 16.417758 -0.3764932 0.2732575 0.0013498 0.0079295 101995690 Pth2r protein_coding 101995690 Pth2r ENSMUSG00000025946 Pth2r ortholog_one2one 90.4762 ENSG00000144407 PTH2R ortholog_one2one 83.3333 NA NA NA NA NA NA 213527 213527 5746 5746
ENSMOCG00000001684 32.939774 -0.3137714 0.1959742 0.0013585 0.0079631 102002010 Cubn protein_coding 102002010 Cubn ENSMUSG00000026726 Cubn ortholog_one2one 80.5249 ENSG00000107611 CUBN ortholog_one2one 69.3646 NA NA NA NA NA NA 65969 65969 8029 8029
ENSMOCG00000019951 17.451389 -0.3047086 0.1867623 0.0013810 0.0080724 NA Nkain1 protein_coding NA Nkain1 ENSMUSG00000078532 Nkain1 ortholog_one2one 80.7882 ENSG00000084628 NKAIN1 ortholog_one2one 80.7882 NA NA NA NA NA NA 67149 67149 79570 79570
ENSMOCG00000005617 180.552825 -0.2626792 0.1420528 0.0013808 0.0080724 101984831 protein_coding 101984831 ENSMUSG00000090877 Hspa1b ortholog_one2many 98.2839 ENSG00000204388 HSPA1B ortholog_one2many 95.6318 ENSMUSG00000090877, ENSMUSG00000091971, ENSMUSG00000090877, ENSMUSG00000091971 Hspa1b, Hspa1a, Hspa1b, Hspa1a 98.2839, 98.2839, 98.2839, 98.2839 ENSG00000204388, ENSG00000204388, ENSG00000204389, ENSG00000204389 HSPA1B, HSPA1B, HSPA1A, HSPA1A 95.6318, 95.6318, 95.6318, 95.6318 15511 15511 3304 3304
ENSMOCG00000018565 25.936390 -0.2595974 0.1391799 0.0013879 0.0081038 102000782 Itgae protein_coding 102000782 Itgae ENSMUSG00000005947 Itgae ortholog_one2one 82.2012 ENSG00000083457 ITGAE ortholog_one2one 71.5391 NA NA NA NA NA NA 16407 16407 3682 3682
ENSMOCG00000016963 21.335634 0.2719005 0.1517574 0.0013920 0.0081204 101982431 Olfm4 protein_coding 101982431 Olfm4 ENSMUSG00000022026 Olfm4 ortholog_one2one 83.8403 ENSG00000102837 OLFM4 ortholog_one2one 68.0608 NA NA NA NA NA NA 380924 380924 10562 10562
ENSMOCG00000019639 46.631251 -0.2719365 0.1519194 0.0013961 0.0081337 101999180 Cdh23 protein_coding 101999180 Cdh23 ENSMUSG00000012819 Cdh23 ortholog_one2one 96.8282 ENSG00000107736 CDH23 ortholog_one2one 94.1352 NA NA NA NA NA NA 22295 22295 64072 64072
ENSMOCG00000017815 29.652073 -0.2821668 0.1630641 0.0014075 0.0081892 101997169 Fbp2 protein_coding 101997169 Fbp2 ENSMUSG00000021456 Fbp2 ortholog_one2one 97.0588 ENSG00000130957 FBP2 ortholog_one2one 95.2941 NA NA NA NA NA NA 14120 14120 8789 8789
ENSMOCG00000019742 13.956974 -0.3711635 0.2737383 0.0014503 0.0083981 101993861 Cpa2 protein_coding 101993861 Cpa2 ENSMUSG00000071553 Cpa2 ortholog_one2one 84.9765 ENSG00000158516 CPA2 ortholog_one2one 84.2723 NA NA NA NA NA NA 232680 232680 1358 1358
ENSMOCG00000010655 16.144671 -0.3134907 0.2005447 0.0014700 0.0084827 101982260 Kcnj14 protein_coding 101982260 Kcnj14 ENSMUSG00000058743 Kcnj14 ortholog_one2one 97.4654 ENSG00000182324 KCNJ14 ortholog_one2one 93.7788 NA NA NA NA NA NA 211480 211480 3770 3770
ENSMOCG00000013070 36.387235 -0.4123007 0.4014397 0.0015074 0.0086761 NA protein_coding NA ENSMUSG00000068587 Mgam ortholog_one2one 83.0416 ENSG00000257335 MGAM ortholog_one2one 78.9982 NA NA NA NA NA NA 232714 232714 8972 8972
ENSMOCG00000012416 27.701155 0.2705027 0.1546208 0.0015396 0.0088233 101984299 Bmp6 protein_coding 101984299 Bmp6 ENSMUSG00000039004 Bmp6 ortholog_one2one 95.0298 ENSG00000153162 BMP6 ortholog_one2one 91.2525 NA NA NA NA NA NA 12161 12161 654 654
ENSMOCG00000017374 37.855099 0.2869905 0.1731140 0.0015494 0.0088700 101992489 Ifitm3 protein_coding 101992489 Ifitm3 ENSMUSG00000025492 Ifitm3 ortholog_one2one 82.4818 ENSG00000185201 IFITM2 ortholog_many2many 61.3139 ENSMUSG00000025492, ENSMUSG00000025492, ENSMUSG00000025492 Ifitm3, Ifitm3, Ifitm3 82.4818, 82.4818, 82.4818 ENSG00000185201, ENSG00000142089, ENSG00000185885 IFITM2, IFITM3, IFITM1 61.3139, 59.854, 52.5547 66141 66141 10581 10581
ENSMOCG00000015114 48.390042 0.3253383 0.2186385 0.0015531 0.0088700 101991383 Trem2 protein_coding 101991383 Trem2 ENSMUSG00000023992 Trem2 ortholog_one2one 79.6681 ENSG00000095970 TREM2 ortholog_one2one 55.6017 NA NA NA NA NA NA 83433 83433 54209 54209
ENSMOCG00000016080 14.885004 0.3416658 0.2397385 0.0015563 0.0088846 101979233 Rarres1 protein_coding 101979233 Rarres1 ENSMUSG00000049404 Rarres1 ortholog_one2one 76.7606 ENSG00000118849 RARRES1 ortholog_one2one 70.0704 NA NA NA NA NA NA 109222 109222 5918 5918
ENSMOCG00000017640 17.162113 -0.3459131 0.2522926 0.0016698 0.0094393 101981922 Zbtb7c protein_coding 101981922 Zbtb7c ENSMUSG00000044646 Zbtb7c ortholog_one2one 95.6381 ENSG00000184828 ZBTB7C ortholog_one2one 94.3457 NA NA NA NA NA NA 207259 207259 201501 201501
ENSMOCG00000015670 9.803717 -0.3894954 0.3474923 0.0017378 0.0097124 101979496 Tcte1 protein_coding 101979496 Tcte1 ENSMUSG00000023949 Tcte1 ortholog_one2one 82.7655 ENSG00000146221 TCTE1 ortholog_one2one 76.1523 NA NA NA NA NA NA 21645 21645 202500 202500
ENSMOCG00000016766 20.145673 -0.2915074 0.1852961 0.0017519 0.0097777 101998485 Gprin2 protein_coding 101998485 Gprin2 ENSMUSG00000071531 Gprin2 ortholog_one2one 84.8552 ENSG00000204175 GPRIN2 ortholog_one2one 74.1648 NA NA NA NA NA NA 432839 432839 9721 9721
ENSMOCG00000015887 30.370648 -0.2598904 0.1494957 0.0017811 0.0099046 101980636 Dsg2 protein_coding 101980636 Dsg2 ENSMUSG00000044393 Dsg2 ortholog_one2one 83.6299 ENSG00000046604 DSG2 ortholog_one2one 74.4662 NA NA NA NA NA NA 13511 13511 1829 1829
ENSMOCG00000016665 21.611172 -0.3089784 0.2089192 0.0018009 0.0099856 NA Mms22l protein_coding NA Mms22l ENSMUSG00000045751 Mms22l ortholog_one2one 86.8662 ENSG00000146263 MMS22L ortholog_one2one 79.4680 NA NA NA NA NA NA 212377 212377 253714 253714
ENSMOCG00000010637 25.821822 0.3444873 0.2595343 0.0018214 0.0100670 NA processed_pseudogene NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000017518 22.830217 -0.2847092 0.1820352 0.0019044 0.0104164 101985521 Septin1 protein_coding 101985521 Septin1 ENSMUSG00000000486 Septin1 ortholog_one2one 97.5477 ENSG00000180096 SEPTIN1 ortholog_one2one 95.0954 NA NA NA NA NA NA 54204, 100043580 54204 1731 1731
ENSMOCG00000004015 35.067171 0.2676377 0.1625271 0.0019442 0.0105994 101998544 Tlr2 protein_coding 101998544 Tlr2 ENSMUSG00000027995 Tlr2 ortholog_one2one 82.5032 ENSG00000137462 TLR2 ortholog_one2one 71.5198 NA NA NA NA NA NA 24088 24088 7097 7097
ENSMOCG00000017494 23.761136 -0.2794670 0.1778074 0.0019777 0.0107423 101985461 protein_coding 101985461 ENSMUSG00000028974 Dffa ortholog_one2many 81.9876 ENSG00000160049 DFFA ortholog_one2many 73.6025 NA NA NA NA NA NA 13347 13347 1676 1676
ENSMOCG00000012380 13.341668 -0.3670625 0.3182856 0.0019915 0.0107896 101993983 protein_coding 101993983 NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000018957 14.218769 -0.3186895 0.2303251 0.0019921 0.0107896 NA Pcdha1 protein_coding NA Pcdha1 ENSMUSG00000103442 Pcdha1 ortholog_one2one 86.0656 ENSG00000204970 PCDHA1 ortholog_one2one 78.9227 NA NA NA NA NA NA 116731 116731 56147 56147
ENSMOCG00000013197 26.799082 -0.2665972 0.1642972 0.0020594 0.0110644 101990097 Cfap300 protein_coding 101990097 Cfap300 ENSMUSG00000053070 Cfap300 ortholog_one2one 92.8839 ENSG00000137691 CFAP300 ortholog_one2one 83.1461 NA NA NA NA NA NA 234912 234912 85016 85016
ENSMOCG00000018460 19.502796 -0.3078168 0.2181718 0.0020672 0.0110971 101988887 Mmp28 protein_coding 101988887 Mmp28 ENSMUSG00000020682 Mmp28 ortholog_one2one 91.1538 ENSG00000271447 MMP28 ortholog_one2one 84.0385 NA NA NA NA NA NA 118453 118453 79148 79148
ENSMOCG00000017485 24.759393 -0.2826674 0.1866524 0.0021351 0.0114068 101999907 Lrrc3 protein_coding 101999907 Lrrc3 ENSMUSG00000051652 Lrrc3 ortholog_one2one 98.4064 ENSG00000160233 LRRC3 ortholog_one2one 80.0797 NA NA NA NA NA NA 237387 237387 81543 81543
ENSMOCG00000017101 36.727155 0.3048191 0.2178478 0.0021652 0.0115419 NA protein_coding NA ENSMUSG00000007646 Rad51c ortholog_one2many 78.1250 ENSG00000108384 RAD51C ortholog_one2many 79.5455 NA NA NA NA NA NA 114714 114714 5889 5889
ENSMOCG00000021075 451.535464 0.3176995 0.2387776 0.0022072 0.0117212 101987932 Riox2 protein_coding 101987932 Riox2 ENSMUSG00000022724 Riox2 ortholog_one2one 75.3219 ENSG00000170854 RIOX2 ortholog_one2one 75.1073 NA NA NA NA NA NA 67014 67014 84864 84864
ENSMOCG00000009377 22.705799 -0.2785841 0.1835658 0.0022101 0.0117273 101995895 F7 protein_coding 101995895 F7 ENSMUSG00000031443 F7 ortholog_one2one 81.8792 ENSG00000057593 F7 ortholog_one2one 70.6935 NA NA NA NA NA NA 14068 14068 2155 2155
ENSMOCG00000014197 5790.279175 -0.2874519 0.1954585 0.0022130 0.0117383 102001059 Sparc protein_coding 102001059 Sparc ENSMUSG00000018593 Sparc ortholog_one2one 96.3087 ENSG00000113140 SPARC ortholog_one2one 93.6242 NA NA NA NA NA NA 20692 20692 6678 6678
ENSMOCG00000013340 17.414164 -0.2929110 0.2050845 0.0022762 0.0120161 101986608 Asb2 protein_coding 101986608 Asb2 ENSMUSG00000021200 Asb2 ortholog_one2one 93.6609 ENSG00000100628 ASB2 ortholog_one2one 88.2726 NA NA NA NA NA NA 65256 65256 51676 51676
ENSMOCG00000020331 83.065910 0.3600868 0.3560152 0.0023075 0.0121379 NA Mylk protein_coding NA Mylk ENSMUSG00000022836 Mylk ortholog_one2one 89.8669 ENSG00000065534 MYLK ortholog_one2one 84.0328 NA NA NA NA NA NA 107589 107589 4638 4638
ENSMOCG00000020980 30.017660 0.3075745 0.2278804 0.0023136 0.0121505 101984266 Colq protein_coding 101984266 Colq ENSMUSG00000057606 Colq ortholog_one2one 94.0266 ENSG00000206561 COLQ ortholog_one2one 89.3805 NA NA NA NA NA NA 382864, 102639719 382864 8292 8292
ENSMOCG00000011435 17.476812 -0.3391287 0.2851305 0.0023439 0.0122758 NA Snora61 snoRNA NA Snora61 ENSMUSG00000064949 Snora61 ortholog_one2one 89.1473 NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000000960 21.751030 -0.2579097 0.1618519 0.0024013 0.0125174 101994078 Slc7a7 protein_coding 101994078 Slc7a7 ENSMUSG00000000958 Slc7a7 ortholog_one2one 92.7451 ENSG00000155465 SLC7A7 ortholog_one2one 90.3922 NA NA NA NA NA NA 20540 20540 9056 9056
ENSMOCG00000017712 138.830508 0.2948527 0.2131793 0.0024280 0.0126191 NA protein_coding NA NA ENSG00000114784 EIF1B ortholog_one2one 98.2456 NA NA NA NA NA NA NA NA 10289 10289
ENSMOCG00000017323 18.813651 -0.2668260 0.1746519 0.0024519 0.0127065 NA protein_coding NA ENSMUSG00000006728 Cdk4 ortholog_one2many 95.8188 ENSG00000135446 CDK4 ortholog_one2many 93.7282 NA NA NA NA NA NA 12567 12567 1019 1019
ENSMOCG00000007045 41.065814 -0.2595973 0.1653325 0.0024584 0.0127305 NA Ccdc81 protein_coding NA Ccdc81 ENSMUSG00000039391 Ccdc81 ortholog_one2one 88.7205 ENSG00000149201 CCDC81 ortholog_one2one 80.3030 NA NA NA NA NA NA 70884 70884 60494 60494
ENSMOCG00000020367 25.134214 0.2733077 0.1850941 0.0025145 0.0129909 101992362 Chrna1 protein_coding 101992362 Chrna1 ENSMUSG00000027107 Chrna1 ortholog_one2one 97.1554 ENSG00000138435 CHRNA1 ortholog_one2one 92.7790 NA NA NA NA NA NA 11435 11435 1134 1134
ENSMOCG00000018829 63.912326 -0.2628969 0.1726181 0.0025817 0.0132662 101998963 Itgb4 protein_coding 101998963 Itgb4 ENSMUSG00000020758 Itgb4 ortholog_one2one 95.4796 ENSG00000132470 ITGB4 ortholog_one2one 88.9195 NA NA NA NA NA NA 192897 192897 3691 3691
ENSMOCG00000019880 32.136160 -0.2762161 0.1915860 0.0026006 0.0133426 NA Col23a1 protein_coding NA Col23a1 ENSMUSG00000063564 Col23a1 ortholog_one2one 94.1729 ENSG00000050767 COL23A1 ortholog_one2one 88.9098 NA NA NA NA NA NA 237759 237759 91522 91522
ENSMOCG00000003565 28.183473 -0.2906861 0.2143515 0.0026426 0.0135062 101999223 Glra3 protein_coding 101999223 Glra3 ENSMUSG00000038257 Glra3 ortholog_one2one 98.9224 ENSG00000145451 GLRA3 ortholog_one2one 98.0603 NA NA NA NA NA NA 110304 110304 8001 8001
ENSMOCG00000018064 20.976817 -0.2851460 0.2060718 0.0026475 0.0135172 102000477 Cklf protein_coding 102000477 Cklf ENSMUSG00000054400 Cklf ortholog_one2one 63.3987 ENSG00000217555 CKLF ortholog_one2one 67.3203 NA NA NA NA NA NA 75458 75458 51192 51192
ENSMOCG00000019180 11.329218 -0.3200277 0.4307053 0.0026478 0.0135172 NA protein_coding NA ENSMUSG00000030795 Fus ortholog_one2many 90.2808 ENSG00000089280 FUS ortholog_one2many 88.3369 NA NA NA NA NA NA 233908 233908 2521 2521
ENSMOCG00000004441 93.871896 -0.2535020 0.1626388 0.0026942 0.0137329 NA protein_coding NA NA ENSG00000182793 GSTA5 ortholog_one2one 53.0612 NA NA NA NA NA NA NA NA 221357 221357
ENSMOCG00000015095 26.211899 -0.2846654 0.2070684 0.0027017 0.0137605 101985986 Rdm1 protein_coding 101985986 Rdm1 ENSMUSG00000010362 Rdm1 ortholog_one2one 80.1471 ENSG00000278023 RDM1 ortholog_one2one 68.3824 NA NA NA NA NA NA 66599 66599 201299 201299
ENSMOCG00000018779 21.388056 -0.2664499 0.1809294 0.0027200 0.0138482 105358997 Synb protein_coding 105358997 Synb ENSMUSG00000047977 Synb ortholog_one2many 86.5478 ENSG00000244476 ERVFRD-1 ortholog_one2one 25.1216 ENSMUSG00000047977, ENSMUSG00000098773 Synb, Gm27179 86.5478, 86.5478 ENSG00000244476, ENSG00000244476 ERVFRD-1, ERVFRD-1 25.1216, 25.1216 239167, 118567354 239167 405754 405754
ENSMOCG00000018661 21.950332 0.2962810 0.2271925 0.0027519 0.0139787 101998982 Ranbp3l protein_coding 101998982 Ranbp3l ENSMUSG00000048424 Ranbp3l ortholog_one2one 72.9339 ENSG00000164188 RANBP3L ortholog_one2one 63.0165 NA NA NA NA NA NA 223332 223332 202151 202151
ENSMOCG00000016418 13.505400 -0.3185098 0.2699373 0.0027838 0.0141084 101991995 Pkp1 protein_coding 101991995 Pkp1 ENSMUSG00000026413 Pkp1 ortholog_one2one 96.4237 ENSG00000081277 PKP1 ortholog_one2one 95.0481 NA NA NA NA NA NA 18772 18772 5317 5317
ENSMOCG00000017344 16.449621 -0.2681610 0.1862501 0.0028323 0.0142919 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000006777 23.670218 -0.3175062 0.2724897 0.0028631 0.0144280 101985059 Cfap161 protein_coding 101985059 Cfap161 ENSMUSG00000011154 Cfap161 ortholog_one2one 77.9605 ENSG00000156206 CFAP161 ortholog_one2one 71.7105 NA NA NA NA NA NA 75556 75556 161502 161502
ENSMOCG00000022188 71.468458 -0.2592159 0.1753397 0.0029127 0.0146068 101999781 Adra2a protein_coding 101999781 Adra2a ENSMUSG00000033717 Adra2a ortholog_one2one 97.8402 ENSG00000150594 ADRA2A ortholog_one2one 92.6566 NA NA NA NA NA NA 11551 11551 150 150
ENSMOCG00000018162 24.547569 -0.3013198 0.2430837 0.0029298 0.0146702 101985464 Ppp1r36 protein_coding 101985464 Ppp1r36 ENSMUSG00000052221 Ppp1r36 ortholog_one2one 83.4951 ENSG00000165807 PPP1R36 ortholog_one2one 75.4854 NA NA NA NA NA NA 210762 210762 145376 145376
ENSMOCG00000010076 17.096797 -0.2897186 0.2234185 0.0029502 0.0147335 101992523 Chrm5 protein_coding 101992523 Chrm5 ENSMUSG00000074939 Chrm5 ortholog_one2one 92.4528 ENSG00000184984 CHRM5 ortholog_one2one 88.1132 NA NA NA NA NA NA 213788 213788 1133 1133
ENSMOCG00000021966 38.626363 0.2585014 0.1755525 0.0029665 0.0147868 101982882 Adamtsl3 protein_coding 101982882 Adamtsl3 ENSMUSG00000070469 Adamtsl3 ortholog_one2one 89.1304 ENSG00000156218 ADAMTSL3 ortholog_one2one 84.1951 NA NA NA NA NA NA 269959 269959 57188 57188
ENSMOCG00000014229 16.229655 -0.2914303 0.2302884 0.0030592 0.0151924 101979273 Evpl protein_coding 101979273 Evpl ENSMUSG00000034282 Evpl ortholog_one2one 89.1026 ENSG00000167880 EVPL ortholog_one2one 82.8402 NA NA NA NA NA NA 14027 14027 2125 2125
ENSMOCG00000005890 19.651516 -0.3125020 0.2747670 0.0030916 0.0153246 101985751 Tafa1 protein_coding 101985751 Tafa1 ENSMUSG00000059187 Tafa1 ortholog_one2one 99.2481 ENSG00000183662 TAFA1 ortholog_one2one 100.0000 NA NA NA NA NA NA 320265 320265 407738 407738
ENSMOCG00000017548 80.783532 0.3209455 0.3089077 0.0031792 0.0156831 NA protein_coding NA NA ENSG00000108518 PFN1 ortholog_one2many 95.3271 NA NA NA NA NA NA NA NA 5216 5216
ENSMOCG00000010647 13.402039 -0.3191754 0.3057837 0.0032168 0.0158565 101982699 Art3 protein_coding 101982699 Art3 ENSMUSG00000034842 Art3 ortholog_one2one 56.8475 ENSG00000156219 ART3 ortholog_one2one 56.5891 NA NA NA NA NA NA 109979 109979 419 419
ENSMOCG00000000797 15.609609 -0.3090052 0.2748998 0.0032352 0.0159179 101996245 Ankrd66 protein_coding 101996245 Ankrd66 ENSMUSG00000096140 Ankrd66 ortholog_one2one 86.4583 ENSG00000230062 ANKRD66 ortholog_one2one 81.2500 NA NA NA NA NA NA 100043332 100043332 100287718 100287718
ENSMOCG00000010633 23.208178 -0.2719461 0.2032246 0.0032490 0.0159740 NA Gsap protein_coding NA Gsap ENSMUSG00000039934 Gsap ortholog_one2one 80.8618 ENSG00000186088 GSAP ortholog_one2one 73.0038 NA NA NA NA NA NA 212167 212167 54103 54103
ENSMOCG00000021689 13.179114 -0.3163295 0.3756819 0.0032544 0.0159946 NA Ighm protein_coding NA Ighm ENSMUSG00000076617 Ighm ortholog_one2one 79.2952 ENSG00000211899 IGHM ortholog_one2one 63.8767 NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000012111 45.190435 -0.3119984 0.2930186 0.0033619 0.0164502 101992531 Dnah10 protein_coding 101992531 Dnah10 ENSMUSG00000038011 Dnah10 ortholog_one2one 93.2680 ENSG00000197653 DNAH10 ortholog_one2one 89.1721 NA NA NA NA NA NA 56087 56087 196385 196385
ENSMOCG00000017284 28.052216 -0.2735587 0.2101111 0.0033966 0.0165594 101980497 protein_coding 101980497 NA ENSG00000137875 BCL2L10 ortholog_one2one 51.5957 NA NA NA NA NA NA NA NA 10017 10017
ENSMOCG00000019942 15.805816 0.2646141 0.1969556 0.0034665 0.0168321 101982659 Sgca protein_coding 101982659 Sgca ENSMUSG00000001508 Sgca ortholog_one2one 93.2817 ENSG00000108823 SGCA ortholog_one2one 88.6305 NA NA NA NA NA NA 20391 20391 6442 6442
ENSMOCG00000014407 19.162787 -0.2930537 0.2539962 0.0035671 0.0172140 101985203 Spaca9 protein_coding 101985203 Spaca9 ENSMUSG00000026809 Spaca9 ortholog_one2one 95.2381 ENSG00000165698 SPACA9 ortholog_one2one 93.4524 NA NA NA NA NA NA 69987 69987 11092 11092
ENSMOCG00000017568 18.542508 -0.2906016 0.2508293 0.0036208 0.0174288 101987825 Ankrd34c protein_coding 101987825 Ankrd34c ENSMUSG00000047606 Ankrd34c ortholog_one2one 92.3221 ENSG00000235711 ANKRD34C ortholog_one2one 90.2622 NA NA NA NA NA NA 330998 330998 390616 390616
ENSMOCG00000001445 19.415452 0.2780979 0.2279820 0.0037070 0.0177539 101999680 Aoah protein_coding 101999680 Aoah ENSMUSG00000021322 Aoah ortholog_one2one 80.5217 ENSG00000136250 AOAH ortholog_one2one 73.7391 NA NA NA NA NA NA 27052 27052 313 313
ENSMOCG00000021008 20.925417 -0.2971847 0.2744717 0.0037553 0.0179211 101988274 Eya4 protein_coding 101988274 Eya4 ENSMUSG00000010461 Eya4 ortholog_one2one 96.5909 ENSG00000112319 EYA4 ortholog_one2one 95.6169 NA NA NA NA NA NA 14051 14051 2070 2070
ENSMOCG00000003082 11.532388 0.3035886 0.3064114 0.0038234 0.0181873 101996643 Ces2a protein_coding 101996643 Ces2a ENSMUSG00000055730 Ces2a ortholog_one2one 77.3214 ENSG00000172831 CES2 ortholog_one2many 66.7857 NA NA NA NA NA NA 102022 102022 8824 8824
ENSMOCG00000004642 695.730018 0.2978861 0.3589151 0.0039142 0.0185203 NA protein_coding NA NA NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000022060 20.388672 -0.2591755 0.2010226 0.0040054 0.0188981 101982092 Col1a1 protein_coding 101982092 Col1a1 ENSMUSG00000001506 Col1a1 ortholog_one2one 95.7330 ENSG00000108821 COL1A1 ortholog_one2one 92.7736 NA NA NA NA NA NA 12842 12842 1277 1277
ENSMOCG00000019421 86.206842 -0.2532096 0.1911908 0.0040359 0.0190218 101982710 Cfap65 protein_coding 101982710 Cfap65 ENSMUSG00000047021 Cfap65 ortholog_one2one 83.1539 ENSG00000181378 CFAP65 ortholog_one2one 74.8116 NA NA NA NA NA NA 241116 241116 255101 255101
ENSMOCG00000014056 21.528848 -0.2869139 0.2664770 0.0041447 0.0194042 101987994 Daw1 protein_coding 101987994 Daw1 ENSMUSG00000053161 Daw1 ortholog_one2one 95.1807 ENSG00000123977 DAW1 ortholog_one2one 87.9518 NA NA NA NA NA NA 71227 71227 164781 164781
ENSMOCG00000013038 19.523506 -0.2845817 0.2768160 0.0044447 0.0205842 102001251 Map3k19 protein_coding 102001251 Map3k19 ENSMUSG00000051590 Map3k19 ortholog_one2one 76.6225 ENSG00000176601 MAP3K19 ortholog_one2one 52.7815 NA NA NA NA NA NA 22625 22625 80122 80122
ENSMOCG00000012735 72.576821 -0.2755343 0.2706961 0.0048885 0.0221921 101997266 Cyp2d22 protein_coding 101997266 Cyp2d22 ENSMUSG00000061740 Cyp2d22 ortholog_one2one 83.4000 ENSG00000100197 CYP2D6 ortholog_one2many 74.4000 NA NA NA NA NA NA 56448 56448 1565 1565
ENSMOCG00000006939 24.625900 -0.2599706 0.2289090 0.0049810 0.0225429 101997732 Btn2a2 protein_coding 101997732 Btn2a2 ENSMUSG00000053216 Btn2a2 ortholog_one2one 87.1595 ENSG00000124508 BTN2A2 ortholog_one2one 72.9572 NA NA NA NA NA NA 238555 238555 10385 10385
ENSMOCG00000009470 59.729272 -0.2773709 0.2979292 0.0050519 0.0228405 NA protein_coding NA ENSMUSG00000090451 Gm6133 ortholog_one2many 84.2391 NA NA NA NA NA NA NA NA NA NA NA
ENSMOCG00000022150 15.188854 -0.2723219 0.2907810 0.0053123 0.0238158 101995809 Col6a4 protein_coding 101995809 Col6a4 ENSMUSG00000032572 Col6a4 ortholog_one2one 79.7089 NA NA NA NA NA NA NA 68553 68553 NA NA
ENSMOCG00000015191 13.408232 -0.2692250 0.2780745 0.0053998 0.0241110 102002820 Cfap126 protein_coding 102002820 Cfap126 ENSMUSG00000026649 Cfap126 ortholog_one2one 79.4595 ENSG00000188931 CFAP126 ortholog_one2one 81.6216 NA NA NA NA NA NA 75472 75472 257177 257177
ENSMOCG00000022057 16.827280 -0.2589592 0.2417526 0.0054518 0.0242535 101997206 Cfap91 protein_coding 101997206 Cfap91 ENSMUSG00000022805 Cfap91 ortholog_one2one 83.4850 ENSG00000183833 CFAP91 ortholog_one2one 75.6827 NA NA NA NA NA NA 320214 320214 89876 89876
ENSMOCG00000013404 37.506955 -0.2657509 0.2911122 0.0057297 0.0251956 101999391 Abcb11 protein_coding 101999391 Abcb11 ENSMUSG00000027048 Abcb11 ortholog_one2one 85.1290 ENSG00000073734 ABCB11 ortholog_one2one 82.0941 NA NA NA NA NA NA 27413 27413 8647 8647
ENSMOCG00000010561 14.047355 0.2504039 0.2278781 0.0057610 0.0252999 101996859 Cldn9 protein_coding 101996859 Cldn9 ENSMUSG00000066720 Cldn9 ortholog_one2one 100.0000 ENSG00000213937 CLDN9 ortholog_one2one 97.2350 NA NA NA NA NA NA 56863 56863 9080 9080
ENSMOCG00000009321 67.870000 -0.2522438 0.2557056 0.0063539 0.0273008 101999984 Ndst4 protein_coding 101999984 Ndst4 ENSMUSG00000027971 Ndst4 ortholog_one2one 97.0183 ENSG00000138653 NDST4 ortholog_one2one 95.5275 NA NA NA NA NA NA 64580 64580 64579 64579

Volcano Plot

lab = unique(c(sig %>% head(n=15) %>% pull(external_gene_name),
        sig %>% arrange(desc(abs(log2FoldChange))) %>% head(n=30) %>% pull(external_gene_name)))
g1 <- amanda.volcano.plot(mydf_all, " ", lab, FCcut = 0.25, Padjcut = 0.05) + 
  ylab("-log(adjusted pvalue)") + xlab("log2(Fold Change)") + 
  ggtitle("Volcano Plot of Genotype Differential Expression") + 
  theme(legend.justification=c(0,1), legend.position=c(0,1))
ggsave(plot=g1, file=paste0(output_dir, "figures/SuppFig6A_Volcano.svg"), width=10, height=7)

Selected Gene Plot

id = sig %>% arrange(padj) %>% filter(external_gene_name %ni% c("", ",")) %>% head(n=6) %>% pull(ensembl_gene_id)
name = sig %>% arrange(padj) %>% filter(external_gene_name %ni% c("", ",")) %>% head(n=6) %>% pull(external_gene_name)

d <- ddsnorm %>% 
    data.frame() %>%
    filter(row.names(ddsnorm) %in% id[1:6]) %>%
    t() %>% data.frame() %>% 
    rownames_to_column() %>%
    tidyr::pivot_longer(cols=-c(rowname), values_to='expr', names_to='gene') %>%
    left_join(metadata[,c("SampleID", "species")], by=c("rowname"="SampleID")) %>%
    left_join(vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("gene"="ensembl_gene_id"))
d$species <- as.factor(d$species)
d$species <- factor(d$species, levels=c("WT", "Mut6"))
d$external_gene_name <- as.factor(d$external_gene_name)
d$external_gene_name <- factor(d$external_gene_name, levels=name)

g1 <- ggplot(d, aes(x=species, y=log2(expr), fill=species)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    facet_wrap(~external_gene_name, scales = "free_y") + 
    theme_bw() + xlab("") +
    ylab("log2 Normalized Gene Expression") +   
    ggtitle("Top 6 DE Genes in Mutation (by Fold Change)") + 
    scale_x_discrete(labels = c("WT", expression(OXTR^"1-/-"))) +
    scale_fill_manual(values=c("#774972","#D089DA")) +
    theme(text=element_text(size=14, face = "bold"),
          strip.text.x = element_text(size = 16), 
          plot.title = element_text(hjust = 0.5), 
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) 
ggsave(plot=g1, file=paste0(output_dir, "figures/Fig6C_BoxPlot.svg"), width=10, height=7)
g1

MA Plot

l = data.frame(res_joint)

l$sig = ifelse(l$padj > 0.05 | is.na(l$padj) | abs(l$log2FoldChange) < 0.25, "NS", ifelse(l$log2FoldChange >0, "up", "down"))
l$sig <- as.factor(l$sig); l$sig <- factor(l$sig, levels=c("up", "down", "NS"))
l <- left_join(rownames_to_column(l), 
               vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("rowname" = "ensembl_gene_id"))

g1 <- ggplot(l, aes(x=log2(baseMean), y=log2FoldChange, col=sig)) + 
    geom_point(size=4) + 
    scale_color_manual(values=c("#B31B21", "#1465AC", "darkgray"), name="", 
                       lab=c(paste0("Up: ",table(l$sig)[["up"]]), 
                             paste0("Down: ",table(l$sig)[["down"]]),
                             "NS")) +
    ylim(c(-8, 4)) +
    theme_bw() + 
    xlab("Log2 Mean Expression") + ylab("Log2 Fold Change") + 
    ggtitle("WT vs OXTR1-/- MA plot") + 
    geom_hline(yintercept=c(0.25, -0.25), linetype = "dashed", linewidth=0.3) + 
    guides(color = guide_legend(direction = "horizontal")) +
    #ggrepel::geom_text_repel(data=l[l$rowname %in% id[1:6], ], aes(label=external_gene_name), 
    #                         show.legend = F, size=4, box.padding = 0.5, segment.color = NA) +
    theme(text=element_text(size=14, face = "bold"),
          plot.title = element_text(hjust = 0.5),
          legend.position=c(1, 1.03),
          legend.justification="right")

ggsave(plot=g1, file=paste0(output_dir, "figures/Fig6B_MAPlot.svg"), width=10, height=8)
g1

mymat <- ddsnorm %>% 
    data.frame() %>% 
    filter(row.names(ddsnorm) %in% x$Joint) %>% 
    rownames_to_column() %>% 
    left_join(vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("rowname"="ensembl_gene_id")) %>%
    mutate(longer=ifelse(external_gene_name != "", external_gene_name, rowname)) %>%
    column_to_rownames('longer') %>% 
    select(-c(external_gene_name, rowname))

scaled_mat = t(scale(t(mymat)))

ha = HeatmapAnnotation(
  Pairing = tolower(gsub("_bond", "", colData(dds)$Condition)),
  Genotype = ifelse(colData(dds)$species == "WT", "WT", "OXTR1-/-"),
  Sex = colData(dds)$Sex,
  col = list(
    Genotype = c("WT" = "#774972", "OXTR1-/-"="#D089DA"),
    Pairing = c("pre" = "#087B8B", "post" = "#E5A024"),
    #Sex = c("F" = "#bf083d", "M"= "#2b4599")),
    #Sex = c("F" = "#bf083d", "M"= "lightblue")),
    Sex = c("F" = "black", "M"= "lightgrey")),
  annotation_legend_param = list(
    Pairing=list(at=c("pre","post"), nrow=1),
    Genotype=list(at=c("WT","OXTR1-/-"), nrow=1),
    Sex = list(at=c("F","M"), nrow=1)
  )
  )

ht <- Heatmap(scaled_mat, name = "Z-score", top_annotation = ha, 
              #col  = colorRamp2(c(-2, 0, 2), hcl_palette = "Cork"), 
              show_column_names = FALSE, show_row_names=FALSE, 
              heatmap_legend_param = list(direction="horizontal", nrow=1),
              row_title = "DE Genes", row_title_rot = 90,
              column_title = "Samples", column_title_rot = 0, column_title_side = "bottom",
              use_raster = TRUE)
## 'magick' package is suggested to install to give better rasterization.
## 
## Set `ht_opt$message = FALSE` to turn off this message.
pdf(file=paste0(output_dir, "figures/Supp6B_Heatmap.pdf"), height = 10, width = 10)
draw(ht, merge_legend = TRUE)
dev.off()
## quartz_off_screen 
##                 2
draw(ht, merge_legend = TRUE)

mymat = ddsnorm[rownames(ddsnorm) %in% unique(c(x$Joint)), ]
rownames(mymat) <- paste0(rownames(mymat), ":", 
                          vole_annotation[vole_annotation$ensembl_gene_id %in% rownames(mymat), "external_gene_name"])
scaled_mat = t(scale(t(mymat)))

ha = HeatmapAnnotation(
  Genotype = colData(dds)$species,
  Bonding = colData(dds)$Condition,
  Sex = colData(dds)$Sex,
  col = list(
    Genotype = c("WT" = "#5c3c92", "Mut6"="#077b8a"),
    Bonding = c("Pre_bond" = "#039fbe", "Post_bond" = "#e8d21d"),
    Sex = c("F" = "#1e3d59", "M"= "#ff6e40")))

ht = Heatmap(scaled_mat, name = "Z-score", 
        top_annotation = ha, cluster_columns = TRUE,
        show_column_names = FALSE, show_row_names=FALSE, 
        column_title = "OXTR -/- DEX Genes\n padj < 0.05 & abs(log2FC) > 0.25 (joint list)")
#doesn't print plot rn, leaving original version here. 
Pulling out some gene plots I think will be of interest.
ugh <- function(id, special=NULL){
  suppressPackageStartupMessages({
    library(glue)
   library(ggtext)
  })
  fc <- format(mydf_all[mydf_all$ensembl_gene_id == id, "log2FoldChange"], digits=3)
  padj <- format(mydf_all[mydf_all$ensembl_gene_id == id, "padj"], digits=3)
  name <- ifelse(is.null(special), 
                 mydf_all[mydf_all$ensembl_gene_id == id, "external_gene_name"],
                 special)
  #return(paste0(name,"\npadj:", padj, " log2FC=", fc))
  #return(list(name, paste0("padj:", padj, "\nlog2FC", fc)))
  return(glue("{name}<br><span style='font-size:9pt'>padj: {padj}   log2FC: {fc}</span>"))
}

id = c("ENSMOCG00000020811", "ENSMOCG00000004545", "ENSMOCG00000002867", "V1A")
name = c("Calcr", "Dlk1", "OXTR", "V1A")

d <- ddsnorm_all %>% 
    data.frame() %>%
    filter(row.names(ddsnorm_all) %in% id) %>%
    t() %>% data.frame() %>% 
    rownames_to_column() %>%
    tidyr::pivot_longer(cols=-c(rowname), values_to='expr', names_to='gene') %>%
    left_join(metadata[,c("SampleID", "species")], by=c("rowname"="SampleID")) %>%
    left_join(vole_annotation[,c("ensembl_gene_id", "external_gene_name")], by=c("gene"="ensembl_gene_id"))
d[d$gene == "V1A", "external_gene_name"] = "V1A"
d$species <- as.factor(d$species)
d$species <- factor(d$species, levels=c("WT", "Mut6"))
d$external_gene_name <- as.factor(d$external_gene_name)
d$external_gene_name <- factor(d$external_gene_name, levels=c(name[1], name[2], name[3], name[4]),
                               labels=c(ugh(id[1]), ugh(id[2]), ugh(id[3]), ugh(id[4], special="V1A")))
g1 <- ggplot(d[d$gene %in% id[1:2], ], aes(x=species, y=log2(expr), fill=species)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    facet_wrap(~external_gene_name, scales = "free_y") + 
    theme_bw() + xlab("") +
    ylab("log2 Normalized Gene Expression") +   
    scale_x_discrete(labels = c("WT", expression(OXTR^"1-/-"))) +
    scale_fill_manual(values=c("#774972","#D089DA")) +
    theme(text=element_text(size=14, face = "bold"),
          strip.text=element_markdown(size = 14, lineheight = 1.1),
          plot.title = element_text(hjust = 0.5), 
          plot.subtitle = element_text(hjust = 0.5, size=12),
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) 
ggsave(plot=g1, file=paste0(output_dir, "figures/Fig6G_BoxPlot.svg"), width=10, height=7)
g1

g2 <- ggplot(d[d$gene %in% id[3:4], ], aes(x=species, y=log2(expr), fill=species)) + 
    geom_boxplot() + 
    geom_jitter(color="black", size=2, alpha=0.5, width = 0.1) +
    facet_wrap(~external_gene_name, scales = "free_y") + 
    theme_bw() + xlab("") +
    ylab("log2 Normalized Gene Expression") +   
    scale_x_discrete(labels = c("WT", expression(OXTR^"1-/-"))) +
    scale_fill_manual(values=c("#774972","#D089DA")) +
    theme(text=element_text(size=14, face = "bold"),
          strip.text=element_markdown(size = 14, lineheight = 1.1),
          plot.title = element_text(hjust = 0.5), 
          plot.subtitle = element_text(hjust = 0.5, size=12),
          legend.position = "none", axis.text.x = element_text(angle = 45, hjust = 1)) 
ggsave(plot=g2, file=paste0(output_dir, "figures/SuppFig6D_BoxPlot.svg"), width=10, height=7)
g2

metadata$tmp <- paste0(metadata$species, "_",metadata$Sex)
amanda.quick.boxplots(ddsnorm_all, "V1A", "V1A\npadj:0.0298 log2FC=-0.246", "tmp", 
                      c("WT_F","WT_M", "Mut6_F", "Mut6_M")) +
  scale_fill_manual(values=c("#56B4E9","#56B4E9", "#E69F00", "#E69F00"))

write.csv(sig, file=paste0(output_dir, "Genotype_DEX.csv"))
#Note, these are genes that are dex with abs(log2FC) > 1 in either female but not male, or male but not female

write.csv(maybesexspecific, file=paste0(output_dir, "Genotype_DEX_SexSpecific.csv"))
save.image(file="~/Desktop/vole_checkpoint.RData")

Enrichment: Gene Ontology

suppressPackageStartupMessages({
  library(org.Mm.eg.db)
  library(goseq)
  library(GO.db)
  library(clusterProfiler)
  library(org.Mm.eg.db)
  library(enrichplot)
  library(GOSemSim)
  library(scales)
})
# goseq:::.ORG_PACKAGES #doesn't offer voles unsurprisingly. lets try go for mm 

getGeneLists <- function(pwf, goterms, genome="mm9", ids="ensGene"){
  #credit: https://www.biostars.org/p/355247/
  gene2cat <- getgo(rownames(pwf), genome, ids)
  cat2gene <- split(rep(names(gene2cat), sapply(gene2cat, length)),
                    unlist(gene2cat, use.names = FALSE))
  out <- list()
  for(term in goterms){
    tmp <- pwf[cat2gene[[term]],]
    tmp <- rownames(tmp[tmp$DEgenes > 0, ])
    out[[term]] <- tmp
  }
  out
}

quickie <- function(l, var="ensembl_gene_id"){
  #small function to pull gene IDs for each category
  m <- paste0(vole_annotation[vole_annotation$mmusculus_homolog_ensembl_gene %in% l, var], collapse=",")
  return(m)
}

add_totals <- function(cont2x2){
  m <- rbind(cont2x2, "total"=0); m$total <- 0;
  m["total","total"] = sum(m)
  m["total",1] <- sum(m[,1]); m["total",2] <- sum(m[,2])
  m[1,"total"] <- sum(m[1,]); m[2,"total"] <- sum(m[2,])
  return(m)
}

new_volcano <- function(results, title, gene.list=NA){
  results <- data.frame(results)
  results <- results[!is.na(results$padj) & !is.na(results$log2FoldChange) ,]
  results$sig <- ifelse(results$padj < 0.05, "sig", "notsig")
  results[results$mmusculus_homolog_ensembl_gene %in% gene.list, "sig"] <- "driving_GO"
  results$sig <- as.factor(results$sig); results$sig <- factor(results$sig, levels = c("notsig", "sig", "driving_GO"))
  
  to_label <- results[results$sig == "driving_GO", ]
  ugh <- nrow(to_label)
  p1 <- ggplot(results, aes(x=log2FoldChange, y=-log10(padj))) + 
    geom_point(aes(color = sig)) +
    ggtitle(title) +
    xlab("log2FC") + ylab("-log10(padj)") +
    scale_colour_manual(values = c("black", "darkgrey", "blue"), name ="", 
                        labels=c("not signficant", "significant (p < 0.05)", paste0("driving_GO (N=",ugh,")"))) +
    theme_bw() + 
    theme(legend.justification=c(1,0), legend.position=c(1,0), legend.title = element_blank(), 
          legend.background = element_rect(fill="transparent", linewidth=0.5, linetype="solid", color = "black")) +
    ggrepel::geom_text_repel(data=results[results$sig == "driving_GO", ], 
                             aes(label=paste0(external_gene_name, ":", mmusculus_homolog_ensembl_gene)), show.legend = F, size=2, col="blue") +
    NULL
  return(p1)
}

#convert a goseq object into a enrichRobject by hand. 
amanda_enrichRobject <- function(degenes, backgroundgenes, enriched.GO){
  results_df <- enriched.GO %>%   
    mutate(GeneRatio = paste0(numDEInCat, "/", length(degenes)), 
         BgRatio = paste0(numInCat, "/", length(backgroundgenes)),
         qvalue=padj,
         geneID = gsub(",", "/", mmusculus_homolog_ensembl_gene),
         Count = numDEInCat) %>% 
  rename(ID=category, Description=term, pvalue=over_represented_pvalue, p.adjust=padj) %>% 
  dplyr::select(c(ID, Description, GeneRatio, BgRatio, pvalue, p.adjust, qvalue, geneID, Count)) 
  
  geneSets <- lapply(enriched.GO$category, function(i) 
    unlist(strsplit(enriched.GO[enriched.GO$category == i, "mmusculus_homolog_ensembl_gene"], ",")))
  names(geneSets) <- enriched.GO$category
  
  ego <- new("enrichResult",
                 readable = FALSE,
                 result = results_df,
                 pvalueCutoff = 0.05,
                 pAdjustMethod = "BH",
                 organism = "UNKNOWN",
                 ontology = enriched.GO$ontology,
                 gene = degenes,
                 keytype = "ENSEMBL",
                 universe = backgroundgenes,
                 gene2Symbol = character(0),
                 geneSets = geneSets)
    fc_list = lapply(ego@result$ID, 
           function(i) genotype_df %>% 
             filter(mmusculus_homolog_ensembl_gene %in% ego@geneSets[[i]]) %>% 
             pull(log2FC_F) %>% 
             median())
    ego@result$median_log2fc = unlist(fc_list)
    ego2 <- pairwise_termsim(ego, method="Wang", semData = godata('org.Mm.eg.db', ont="BP"))
    return(ego2)
}
DEgenes_mm <- vole_annotation %>% 
    filter(ensembl_gene_id %in% x$Joint) %>% 
    pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()
  
backgroundGenes_mm = vole_annotation %>% 
    filter(ensembl_gene_id %in% rownames(cts)) %>% 
    pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()

genes <- as.integer(backgroundGenes_mm %in% DEgenes_mm) 
names(genes) <- (backgroundGenes_mm)

#run GO on joint list
pwf=nullp(genes, "mm9", "ensGene", plot.fit = FALSE) #obtain a weighting for each gene, depending on its length
GO.wall=goseq(pwf, "mm9", "ensGene")
ego <- GO.wall %>%  mutate(padj = p.adjust(over_represented_pvalue, method="BH")) %>%  filter(padj < 0.05) 
goList <- getGeneLists(pwf, ego$category)
enriched.GO <- ego %>%
  mutate(
  mmusculus_homolog_ensembl_gene = sapply(category, function(x) paste0(goList[[x]], collapse = ",")),
  ensembl_gene_id <- sapply(category, function(x) quickie(goList[[x]], var="ensembl_gene_id")),
  external_gene_name <- sapply(category, function(x) quickie(goList[[x]], var="external_gene_name")))

cat("Number of enriched GO categories (joint):", nrow(enriched.GO))
## Number of enriched GO categories (joint): 62
ego2 <- amanda_enrichRobject(DEgenes_mm, backgroundGenes_mm, enriched.GO[enriched.GO$numInCat < 1000, ])

n = 5
mycol= hue_pal()(n)
p1 <- suppressWarnings(
  treeplot(ego2, color="p.adjust", showCategory = 65,
  cluster.params = list(color=mycol, n=n))
  ) +  
  scale_fill_manual(values=rep(c("white"), n)) +
  scale_colour_continuous(low="cornflowerblue", high="red", name = "adjp", 
            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = "bottom")
p1$layers[[3]]$aes_params$size <- 3 # clusters
p1$layers[[7]]$aes_params$size <- 3 #tree labels

#p2 <- treeplot(ego2, color="median_log2fc", showCategory = 65,
#  cluster.params = list(color=mycol, n=n)) +  
#  scale_fill_manual(values=rep(c("white"), n)) +
#  scale_colour_continuous(low="cornflowerblue", high="red", name = #"median_log2fc", 
#            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = #"bottom")
#p2$layers[[3]]$aes_params$size <- 3 # clusters
#p2$layers[[7]]$aes_params$size <- 3 #tree labels
p1 + ggtitle("All terms: nodes colored by padj")

GO by fold change

#run GO on up/down regulation
DEgenes_ups <- mydf_all %>% 
  filter(padj < 0.05 & log2FoldChange > 0.25) %>%
  pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()
genes <- as.integer(backgroundGenes_mm %in% DEgenes_ups) 
names(genes) <- (backgroundGenes_mm)

pwf=nullp(genes, "mm9", "ensGene", plot.fit = FALSE) #obtain a weighting for each gene, depending on its length
GO.wall=goseq(pwf, "mm9", "ensGene")
ego <- GO.wall %>%  mutate(padj = p.adjust(over_represented_pvalue, method="BH")) %>%  filter(padj < 0.05) 
goList <- getGeneLists(pwf, ego$category)
enriched.GO_up <- ego %>%
  mutate(
  mmusculus_homolog_ensembl_gene = sapply(category, function(x) paste0(goList[[x]], collapse = ",")),
  ensembl_gene_id <- sapply(category, function(x) quickie(goList[[x]], var="ensembl_gene_id")),
  external_gene_name <- sapply(category, function(x) quickie(goList[[x]], var="external_gene_name")))

cat("Number of enriched GO categories (up reg):", nrow(enriched.GO_up))
## Number of enriched GO categories (up reg): 20
DEgenes_downs <- mydf_all %>% 
  filter(padj < 0.05 & log2FoldChange < -0.25) %>%
  pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()
genes <- as.integer(backgroundGenes_mm %in% DEgenes_downs) 
names(genes) <- (backgroundGenes_mm)
pwf=nullp(genes, "mm9", "ensGene", plot.fit = FALSE) #obtain a weighting for each gene, depending on its length
GO.wall=goseq(pwf, "mm9", "ensGene")
ego <- GO.wall %>%  mutate(padj = p.adjust(over_represented_pvalue, method="BH")) %>%  filter(padj < 0.05) 
goList <- getGeneLists(pwf, ego$category)
enriched.GO_down <- ego %>%
  mutate(
  mmusculus_homolog_ensembl_gene = sapply(category, function(x) paste0(goList[[x]], collapse = ",")),
  ensembl_gene_id <- sapply(category, function(x) quickie(goList[[x]], var="ensembl_gene_id")),
  external_gene_name <- sapply(category, function(x) quickie(goList[[x]], var="external_gene_name")))

cat("Number of enriched GO categories (down reg):", nrow(enriched.GO_down))
## Number of enriched GO categories (down reg): 25
tmp <- full_join(x=enriched.GO_down, y=enriched.GO_up, by=c("category", "term"))
tmp <- tmp %>% arrange(log(padj.x), na.last = TRUE)
#tmp$category <- as.factor(tmp$category)
tmp$term <- factor(tmp$term, levels=rev(unique(as.character(tmp$term)) ))

ggplot(tmp, aes(x=term)) +
  geom_col(aes(y=-log(padj.y), fill="up-regulated")) +
  geom_col(aes(y=log(padj.x), fill="down-regulated")) + 
  scale_fill_manual(values=c("orange2", "cornflowerblue"), name = "DEX list") + 
  coord_flip() +
  labs(x="Pathway", y="log(padj)", title="GO enrichment for OXTR-/-\nby fold change direction") + 
  theme_minimal()

ego_up <- amanda_enrichRobject(DEgenes_ups, backgroundGenes_mm, enriched.GO_up[enriched.GO_up$numInCat < 1000, ])
ego_down <- amanda_enrichRobject(DEgenes_downs, backgroundGenes_mm, enriched.GO_down[enriched.GO_down$numInCat < 1000, ])
#https://github.com/YuLab-SMU/enrichplot/blob/devel/R/treeplot.R
n = 4
mycol= hue_pal()(n)
p1 <- treeplot(ego_up, color="p.adjust", showCategory = 65,
  cluster.params = list(color=mycol, n=n)) +  
  scale_fill_manual(values=rep(c("white"), n)) +
  scale_colour_continuous(low="cornflowerblue", high="red", name = "adjp", 
            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = "bottom")
p1$layers[[3]]$aes_params$size <- 3 # clusters
p1$layers[[7]]$aes_params$size <- 3 #tree labels

p2 <- treeplot(ego_down, color="p.adjust", showCategory = 65,
  cluster.params = list(color=mycol, n=n)) +  
  scale_fill_manual(values=rep(c("white"), n)) +
  scale_colour_continuous(low="cornflowerblue", high="red", name = "adjp", 
            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = "bottom")
p2$layers[[3]]$aes_params$size <- 3 # clusters
p2$layers[[7]]$aes_params$size <- 3 #tree labels
grid.arrange(p1 + ggtitle("up-regulated genes")+  theme(legend.position = "none"),
             p2 + ggtitle("down-regulated genes"), ncol=2)

GO by sex-specific lists.

#run GO on sex-specific lists
DEgenes_male <- vole_annotation %>% 
    filter(ensembl_gene_id %in% x$Male) %>% 
    pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()
genes <- as.integer(backgroundGenes_mm %in% DEgenes_male) 
names(genes) <- (backgroundGenes_mm)

pwf=nullp(genes, "mm9", "ensGene", plot.fit = FALSE) #obtain a weighting for each gene, depending on its length
GO.wall=goseq(pwf, "mm9", "ensGene")
ego <- GO.wall %>%  mutate(padj = p.adjust(over_represented_pvalue, method="BH")) %>%  filter(padj < 0.05) 
goList <- getGeneLists(pwf, ego$category)
enriched.GO_male <- ego %>%
  mutate(
  mmusculus_homolog_ensembl_gene = sapply(category, function(x) paste0(goList[[x]], collapse = ",")),
  ensembl_gene_id <- sapply(category, function(x) quickie(goList[[x]], var="ensembl_gene_id")),
  external_gene_name <- sapply(category, function(x) quickie(goList[[x]], var="external_gene_name")))

cat("Number of enriched GO categories (male):", nrow(enriched.GO_male))
## Number of enriched GO categories (male): 12
#run GO on sex-specific lists
DEgenes_female <- vole_annotation %>% 
    filter(ensembl_gene_id %in% x$Female) %>% 
    pull("mmusculus_homolog_ensembl_gene") %>% unique() %>% na.omit() %>% as.character()
genes <- as.integer(backgroundGenes_mm %in% DEgenes_female) 
names(genes) <- (backgroundGenes_mm)
pwf=nullp(genes, "mm9", "ensGene", plot.fit = FALSE) #obtain a weighting for each gene, depending on its length
GO.wall=goseq(pwf, "mm9", "ensGene")
ego <- GO.wall %>%  mutate(padj = p.adjust(over_represented_pvalue, method="BH")) %>%  filter(padj < 0.05) 
goList <- getGeneLists(pwf, ego$category)
enriched.GO_female <- ego %>%
  mutate(
  mmusculus_homolog_ensembl_gene = sapply(category, function(x) paste0(goList[[x]], collapse = ",")),
  ensembl_gene_id <- sapply(category, function(x) quickie(goList[[x]], var="ensembl_gene_id")),
  external_gene_name <- sapply(category, function(x) quickie(goList[[x]], var="external_gene_name")))

cat("Number of enriched GO categories (female):", nrow(enriched.GO_female))
## Number of enriched GO categories (female): 34
ego_female <- amanda_enrichRobject(DEgenes_female, backgroundGenes_mm, enriched.GO_female[enriched.GO_female$numInCat < 1000, ])
ego_male <- amanda_enrichRobject(DEgenes_male, backgroundGenes_mm, enriched.GO_male[enriched.GO_male$numInCat < 1000, ])
n = 4
mycol= hue_pal()(n)
p1 <- treeplot(ego_female, color="p.adjust", showCategory = 65,
  cluster.params = list(color=mycol, n=n)) +  
  scale_fill_manual(values=rep(c("white"), n)) +
  scale_colour_continuous(low="cornflowerblue", high="red", name = "adjp", 
            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = "bottom")
p1$layers[[3]]$aes_params$size <- 3 # clusters
p1$layers[[7]]$aes_params$size <- 3 #tree labels

p2 <- treeplot(ego_male, color="p.adjust", showCategory = 65,
  cluster.params = list(color=mycol, n=n)) +  
  scale_fill_manual(values=rep(c("white"), n)) +
  scale_colour_continuous(low="cornflowerblue", high="red", name = "adjp", 
            guide = guide_colorbar(reverse = TRUE)) #+ theme(legend.position = "bottom")
p2$layers[[3]]$aes_params$size <- 3 # clusters
p2$layers[[7]]$aes_params$size <- 3 #tree labels
grid.arrange(p1 + ggtitle("Female GO")+  theme(legend.position = "none"),
             p2 + ggtitle("Male GO"), ncol=2)

  • Here all expressed genes with mouse ortholog are used as the background.
  • Showing the full list like this just so everyone can get the full picture.
  • Obviously for the publication we’ll present a paired down figure.
  • We can see that the ‘joint’ list does have a fairly different profile from both female and in particular male lists.
tmp <- full_join(enriched.GO, full_join(x=enriched.GO_male, y=enriched.GO_female, by=c("category", "term")), by=c("category", "term"))
tmp <- tmp %>% arrange(log(padj), na.last = TRUE)
#tmp$category <- as.factor(tmp$category)
tmp$term <- factor(tmp$term, levels=rev(unique(as.character(tmp$term)) ))

ggplot(tmp, aes(x=term)) +
  geom_col(aes(y=log(padj), fill="joint")) +
  geom_col(aes(y=-log(padj.y), fill="female")) +
  geom_col(aes(y=-log(padj.x), fill="male")) + 
  scale_fill_manual(values=c("salmon", "darkgrey", "cornflowerblue"), name = "DEX list") + 
  coord_flip() +
  labs(x="Pathway", y="log(padj)", title="GO enrichment for OXTR-/- ") + 
  theme_minimal()

We can easily see that the “joint” list and female list are fairly similar, while the male-specific lists is slightly different.

write.csv(enriched.GO, file=paste0(output_dir, "Genotype_GO.csv"))

Enrichment: Wikipathways

#this code works but for some reason this function broke. I imagine a WP path updated and now its broke. come back and check later. 
x_entrez = list(
    "Joint" = genotype_df %>% filter(padj_joint < 0.05, abs(log2FC_joint) > 0.25) %>% 
      pull(mmusculus_entrezgene_id) %>% na.omit() %>% unique(),
    "Male" = genotype_df %>% filter(padj_M < 0.05, abs(log2FC_M) > 0.25) %>% 
      pull(mmusculus_entrezgene_id) %>% na.omit() %>% unique() %>% as.character(),
    "Female" = genotype_df %>% filter(padj_F < 0.05, abs(log2FC_F) > 0.25) %>% 
      pull(mmusculus_entrezgene_id) %>% na.omit() %>% unique() %>% as.character()
)

backgroundGenes_mm = vole_annotation %>% 
    filter(ensembl_gene_id %in% rownames(cts)) %>% 
    pull(mmusculus_entrezgene_id) %>% unique() %>% na.omit() %>% as.vector()

wikiList_joint <- enrichWP(gene=x_entrez$Joint, 
         organism = "Mus musculus",
         universe = backgroundGenes_mm,
         ) 
p1 <- dotplot(wikiList_joint, showCategory=30) + ggtitle("WikiPathways:Joint")
wikiList_F <- enrichWP(gene=x_entrez$Female, 
         organism = "Mus musculus",
         universe = backgroundGenes_mm,
         ) 
p2 <- dotplot(wikiList_F, showCategory=30) + ggtitle("WikiPathways:Female")
wikiList_M <- enrichWP(gene=x_entrez$Male, 
         organism = "Mus musculus",
         universe = backgroundGenes_mm,
         ) 
p3 <- dotplot(wikiList_M, showCategory=30) + ggtitle("WikiPathways:Male")
grid.arrange(p1, p2, p3, ncol=3)
p2 = p1 + ggtitle("WikiPathways over-representation") + xlab("Gene Ratio") # (DE genes in cat/ total number of DE genes in WikiPathway collection)")

Over-representation

Should we use mouse/human and gene symbol/entrez ID?

In sum, mouse ensembl or symbol is the best. Followed by pretty much a wash between mouse entrez/human ensembl/human symbol

cat("Vole Ensembl:", length(unique(vole_annotation$ensembl_gene_id)))
## Vole Ensembl: 23038
cat("Vole Entrez:", length(unique(vole_annotation$entrezgene_id)))
## Vole Entrez: 16038
cat("Vole Symbol:", length(unique(vole_annotation$external_gene_name)))
## Vole Symbol: 15866
cat("Mouse Ensembl:", length(unique(vole_annotation$mmusculus_homolog_ensembl_gene)))
## Mouse Ensembl: 18464
cat("Mouse Entrez:", length(unique(vole_annotation$mmusculus_entrezgene_id)))
## Mouse Entrez: 17746
cat("Mouse Symbol:", length(unique(vole_annotation$mmusculus_homolog_associated_gene_name)))
## Mouse Symbol: 18452
cat("Human Ensembl:", length(unique(vole_annotation$hsapiens_homolog_ensembl_gene)))
## Human Ensembl: 17470
cat("Human Entrez:", length(unique(vole_annotation$hsapiens_entrezgene_id)))
## Human Entrez: 16792
cat("Human Symbol:", length(unique(vole_annotation$hsapiens_homolog_associated_gene_name)))
## Human Symbol: 17312

Categorical: ASD & NDD Associated Gene Lists

  • Note: using all expressed vole genes with a human ortholog as background.
asd = read_excel(paste0(data_dir,"gsea/Satterstrom_2020_table_S2.xlsx"), sheet=3)
ndd = read_excel(paste0(data_dir,"gsea/Kaplanis_2020_table_S2.xlsx"), sheet=1)
epi = read_excel(paste0(data_dir,"gsea/Epileptic encephalopathy_mmc2.xlsx"), sheet=1)
scz = read_excel(paste0(data_dir,"gsea/SCZ_41586_2014_BFnature12929_MOESM39_ESM.xlsx"), sheet=1)

genelist <- c(list("ASD" = asd %>% 
                     filter(stringr::str_detect(gene, '^[[:upper:][:digit:]]+$')) %>% 
                     pull(gene)
                   ),
              list("NDD" = ndd %>% 
                     filter(significant == TRUE) %>% 
                     pull(symbol)
                   ),
              list("EPI" = na.omit(epi$Gene)),
              list("SCZ" = scz$Genes)
)
length(genelist$ASD)
## [1] 102
length(genelist$NDD)
## [1] 285
length(genelist$SCZ)
## [1] 640
length(genelist$EPI)
## [1] 429

There are some gene symbol alias differences. Fixing the ones I can find and printing those that are not represented in the vole annotation.

tofix_df = data.frame(old_names = c("SUV420H1", "SRPR",
                                    "COL4A3BP", "HIST1H1E", "KMT2B (MLL4)", "C6orf222", "SELRC1","FAM134A", "TCTE3", "SGK223", "C4orf37",
              "KIAA0913", "DDX58", "C1orf123", "HIST1H2BD", "GPR128", "GPR98", "CHD2 ^", "FAM116B",
              "C17orf53", "C16orf62", "KIAA1324L", "FAM21C", "WHSC1L1", "FAM63B", "MLL", "FAM102A", "UHRF1BP1L",
              "MLL2", "CPAMD8", "PNMAL1", "RARS",
              "YARS", "LPHN2", "GBA", "DARC", "CCBP2", "KIAA2018", "HIST1H2BE", "HIST1H3G", "HIST1H4I", 
              "AKD1", "KIAA1244", "YAE1D1", "ACN9", "C7orf60", "MLL3", "FAM160B2", "KIAA1429", "C9orf114", "KIAA1462",
              "TMEM180", "FAM160B1", "PCNXL3", "WARS", "SOLH", "BZRAP1", "SLC9A3R1", "PEG3,ZIM2", "GTPBP5"),
              new_names = c("KMT5B", "SRPRA", 
                            "CERT1", "H1-4", "KMT2B", "BNIP5", "COA7", "RETREG2", "DYNLT2", "PRAG1", "STPG2", "ZSWIM8", "RIGI",
                 "CZIB", "H2BC5", "ADGRG7", "ADGRV1", "CHD2", "DENND6B", "HROB", "VPS35L", "ELAPOR2", "WASHC2C",
                 "NSD3", "MINDY2", "KMT2A", "EEIG1", "BLTP3B", "KMT2D", "VIP", "PNMA8A", "RARS1",
                 "YARS1","ADGRL2", "GBA1", "ACKR1", "ACKR2", "USF1", "H2BC4", "H3C8", "H4C9", "AK9",
                  "ARFGEF3", "YAE1", "SDHAF3", "BMT2", "KMT2C", "FHIP2B", "VIRMA", "SPOUT1", "JCAD", "MFSD13A",
                  "FHIP2A", "PCNX3", "WARS1", "CAPN15", "TSPOAP1", "NHERF1", "PEG3", "MTG2"))


for (e in names(genelist)){
  print(e); print("missing gene symbol:")
  replace = genelist[[e]][genelist[[e]] %in% tofix_df$old_names]
  genelist[[e]] = c(tofix_df[tofix_df$old_names %in% replace, "new_names"], genelist[[e]][genelist[[e]] %ni% replace])
  print(setdiff(genelist[[e]], unique(vole_annotation$hsapiens_homolog_associated_gene_name)))
}
## [1] "ASD"
## [1] "missing gene symbol:"
## character(0)
## [1] "NDD"
## [1] "missing gene symbol:"
## [1] "ALG13"  "H3F3A"  "HNRNPK" "POU3F3" "SOX11" 
## [1] "EPI"
## [1] "missing gene symbol:"
##  [1] "TAS2R4"    "CXXC11"    "ZNF572"    "LEKR1"     "FAM86C1"   "NLRP8"    
##  [7] "RAET1L"    "NLRP11"    "ZNF839"    "OR10S1"    "ALG13"     "B3GNT4"   
## [13] "AKR1C4"    "ADAM21"    "KLHL11"    "LCE1A"     "ALMS1"     "GRAMD2"   
## [19] "FASN"      "PCDHB13"   "HIST2H2BE" "GLB1L3"    "FLG"       "KRTAP1-3" 
## [25] "SLCO1B7"  
## [1] "SCZ"
## [1] "missing gene symbol:"
##  [1] "H4C9"               "RPL5"               "FCGR3B"            
##  [4] "ALMS1"              "PSAPL1"             "OR11A1"            
##  [7] "NUPL2"              "POM121C"            "AKAP9"             
## [10] "ATP5J2-PTCD1,PTCD1" "TAS2R3"             "SSPO"              
## [13] "EPPK1"              "HAUS6"              "CTSL1"             
## [16] "EXD3"               "IGSF22"             "SPDYC"             
## [19] "GDPD5"              "CLNS1A"             "CD163L1"           
## [22] "SLCO1B7"            "C12orf74"           "DEPDC4"            
## [25] "PSMB11"             "TINF2"              "ACSM2B"            
## [28] "ALOX15"             "ZNF77"              "EMR1"              
## [31] "KXD1"               "ZNF607"             "ZNF551"            
## [34] "SLMO2"              "C20orf197"          "KRTAP10-3"         
## [37] "CCT8L2"             "APOL5"              "ARSE"              
## [40] "MUM1L1"
amanda_build_cont <- function(tmp, genelist, FCcutoff, Pcutoff=0.05){
  tmp <- tmp %>% filter(hsapiens_homolog_associated_gene_name != "")
  sig <- tmp %>% filter(padj <= Pcutoff & abs(log2FoldChange) > FCcutoff) %>% pull(ensembl_gene_id)
  
  mycontigency <- data.frame(
    row.names=c("Differentially_expressed", "Not_Differentially_Expressed"),
    inlist=c(
      tmp %>% filter(ensembl_gene_id %in% sig & hsapiens_homolog_associated_gene_name %in% genelist) %>% nrow(),
      tmp %>% filter(ensembl_gene_id %ni% sig & hsapiens_homolog_associated_gene_name %in% genelist) %>% nrow()),
    notinlist=c(
      tmp %>% filter(ensembl_gene_id %in% sig & hsapiens_homolog_associated_gene_name %ni% genelist) %>% nrow(),
      tmp %>% filter(ensembl_gene_id %ni% sig &  hsapiens_homolog_associated_gene_name %ni% genelist) %>% nrow())
    )
  return(mycontigency)
}
OverRep_df <- data.frame(matrix(nrow = 0, ncol = 5))
for (i in names(genelist)){
  for (j in c(0, 0.25)) {
    for (k in c(0.05, 0.01)){
      mycontigency <- amanda_build_cont(mydf_all, genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Joint", i, j, k, "both", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_all %>% filter(log2FoldChange >=0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Joint", i, j, k, "up", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_all %>% filter(log2FoldChange <0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Joint", i, j, k, "down", chisq.test(mycontigency)$p.value))
      
      mycontigency <- amanda_build_cont(mydf_F, genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Female", i, j, k, "both", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_F %>% filter(log2FoldChange >=0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Female", i, j, k, "up", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_F %>% filter(log2FoldChange <0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Female", i, j, k, "down", chisq.test(mycontigency)$p.value))
      
      mycontigency <- amanda_build_cont(mydf_M, genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Male", i, j, k, "both", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_M %>% filter(log2FoldChange >=0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Male", i, j, k, "up", chisq.test(mycontigency)$p.value))
      mycontigency <- amanda_build_cont(mydf_M %>% filter(log2FoldChange <0), genelist[[i]], FCcutoff=j, Pcutoff=k)
      OverRep_df <- rbind(OverRep_df, c("Male", i, j, k, "down", chisq.test(mycontigency)$p.value))
    }
  }
}

colnames(OverRep_df) <- c("DEXlist", "EnrichmentList", "FCcut", "Pcut", "FC_direction", "ChiSq_pval")
OverRep_df$ChiSq_pval <- as.numeric(OverRep_df$ChiSq_pval)

OverRep_df$FC_direction <- as.factor(OverRep_df$FC_direction)
OverRep_df$FC_direction <- factor(OverRep_df$FC_direction, levels=c("both", "up", "down"))

OverRep_df$DEXlist <- as.factor(OverRep_df$DEXlist)
OverRep_df$DEXlist <- factor(OverRep_df$DEXlist, levels=c("Joint", "Female", "Male"))
tmp <- OverRep_df %>% 
    filter(Pcut == 0.01 & FCcut == 0) %>% 
    filter(FC_direction != "both") %>%
    mutate(padj = p.adjust(ChiSq_pval, method = "BH"))

g1 <- ggplot(tmp, aes(x = FC_direction, y = EnrichmentList, fill = log(padj))) +
    geom_tile(size=0.1, color='grey', show.legend = T, lwd = 1.5, linetype = 1) +
    scale_fill_gradient2(low="#CD2836", high="#6A90CA", name="log(Adjusted ChiSq P-value)") +
    geom_text(aes(label = ifelse(padj <= 0.05, "*", "")), color = "black", size = 8) +
    coord_equal() + 
    facet_wrap(~DEXlist) +
    xlab("") + ylab("") + ggtitle("Over-representation of Disease associated genes (padj < 0.01, abs(FC) > 0)")+
    theme_minimal(base_size=7) + 
    theme(text=element_text(size=14, face = "bold"),
          #strip.text.x = element_text(size = 16), 
          plot.title = element_text(size=12, hjust = 0.5),
          axis.ticks=element_blank(), 
          panel.border=element_blank(),
          panel.grid.major = element_blank(),
          panel.grid.minor = element_blank(),
          panel.background = element_blank(),
          axis.text.x=element_text(size=14, angle=320, hjust = 0, colour="grey50"))
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
g1

ggsave(plot=g1, file=paste0(output_dir, "figures/Fig6F_Disease.svg"), width=10, height=10)

scRNAseq Enrichments

knitr::knit_exit()